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analytics engineer
Head of Studio
Midnite
Location: Remote, must be UK-based Salary: Competitive, depending on experience Why Midnite? Midnite is a next-generation betting platform that is built for today's fandom. We are a collective of engineers and designers who all share a passion for sports and gaming. We exist to bring fans closer to the games they love through the rush of winning money. Unlike the alternatives, Midnite doesn't feel like a website built two decades ago. Instead, it's a cutting-edge creation, designed and constructed from the ground up with the latest technologies. Crafting an experience that's truly intuitive, immersive, and immediately understandable is no walk in the park, but we thrive on the challenge. We believe we're on the brink of creating something truly awesome. About the role As Head of Studio, you will lead Midnite's internal game studio to build the next generation of mobile-first casino games. From real-money table games and slots to instant win and free-to-play experiences, you'll shape a game portfolio that's engaging, intuitive, and modern. You will have full ownership of the creative and production process-leading a multidisciplinary team to develop, launch, and continuously improve games that appeal to a new generation of players. This role blends creative vision, technical oversight, and startup execution. The ideal candidate has deep experience in mobile game development (social casino, iGaming, or mobile gaming), strong leadership chops, and a love for building high-quality user experiences. You'll be a key figure in our growth and innovation journey. What you'll be doing Lead the end-to-end creation of mobile-first casino games-concepting, prototyping, production, and live operations Build and mentor a talented cross-functional studio team, including game designers, developers, artists, and producers Define and manage the games roadmap aligned with Midnite's overall product strategy Set creative direction and maintain a high-quality bar across visual design, game mechanics, and UX Work closely with marketing, product, and analytics to optimise performance and player engagement Leverage data and player insights to inform design and iteration Foster a fast-paced, innovative, and collaborative culture within the studio Drive operational efficiency while maintaining creativity and gameplay excellence What we're looking for 7+ years of experience in mobile games, social casino, or iGaming Proven track record of delivering commercially successful game titles Deep understanding of mobile game economies, monetization strategies, and retention mechanics Experience leading creative and technical teams within a game development lifecycle Excellent communication, storytelling, and collaboration skills Hands-on, startup-ready attitude-comfortable with ambiguity and fast execution Ideally UK-based, but open to remote for the right candidate What's in it for you Shape our future: Play a key role in our team's success, where your voice matters, and you'll have a direct impact on shaping Midnite's future. Connect and unwind: Take part in our quarterly gatherings where our community comes together to bond and have fun. Comprehensive health coverage: Look after your well-being with our outstanding zero-excess health insurance plan, which includes optical and dental coverage. Pension finder: Access to a pension pot finder service to help you keep track. Simplify life: Take advantage of our nursery salary sacrifice scheme, allowing you to conveniently pay your child's nursery fees straight from your paycheck. Work-life balance: Enjoy 25 paid holidays a year, plus generous paid maternity, paternity, and adoption leave, supporting you during life's most important moments. Financial advice: You'll get access to expert financial advice and guidance. Productive home office: We provide everything you need for a comfortable and ergonomic home setup, ensuring you're as productive as possible. Flexible working: We embrace flexible working, allowing you to adjust your schedule when life's unexpected moments arise. Latest tech made easy: With our salary sacrifice schemes, you can upgrade to the latest gadgets, household items, and mobile tech without the upfront cost. Exclusive perks: Enjoy a wide range of discounts on retailers, groceries, and subscriptions, making life a little more affordable. Grow with us: Expand your skills through internal and external learning opportunities while benefiting from access to mentorship programs that support your development. Transparent compensation: We provide competitive pay with clear team bandings and salary grids, ensuring that salary discussions are simple and fair. Constructive feedback: We foster a transparent culture, encouraging individual feedback and review sessions to help everyone improve. At Midnite, we're committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.
Nov 22, 2025
Full time
Location: Remote, must be UK-based Salary: Competitive, depending on experience Why Midnite? Midnite is a next-generation betting platform that is built for today's fandom. We are a collective of engineers and designers who all share a passion for sports and gaming. We exist to bring fans closer to the games they love through the rush of winning money. Unlike the alternatives, Midnite doesn't feel like a website built two decades ago. Instead, it's a cutting-edge creation, designed and constructed from the ground up with the latest technologies. Crafting an experience that's truly intuitive, immersive, and immediately understandable is no walk in the park, but we thrive on the challenge. We believe we're on the brink of creating something truly awesome. About the role As Head of Studio, you will lead Midnite's internal game studio to build the next generation of mobile-first casino games. From real-money table games and slots to instant win and free-to-play experiences, you'll shape a game portfolio that's engaging, intuitive, and modern. You will have full ownership of the creative and production process-leading a multidisciplinary team to develop, launch, and continuously improve games that appeal to a new generation of players. This role blends creative vision, technical oversight, and startup execution. The ideal candidate has deep experience in mobile game development (social casino, iGaming, or mobile gaming), strong leadership chops, and a love for building high-quality user experiences. You'll be a key figure in our growth and innovation journey. What you'll be doing Lead the end-to-end creation of mobile-first casino games-concepting, prototyping, production, and live operations Build and mentor a talented cross-functional studio team, including game designers, developers, artists, and producers Define and manage the games roadmap aligned with Midnite's overall product strategy Set creative direction and maintain a high-quality bar across visual design, game mechanics, and UX Work closely with marketing, product, and analytics to optimise performance and player engagement Leverage data and player insights to inform design and iteration Foster a fast-paced, innovative, and collaborative culture within the studio Drive operational efficiency while maintaining creativity and gameplay excellence What we're looking for 7+ years of experience in mobile games, social casino, or iGaming Proven track record of delivering commercially successful game titles Deep understanding of mobile game economies, monetization strategies, and retention mechanics Experience leading creative and technical teams within a game development lifecycle Excellent communication, storytelling, and collaboration skills Hands-on, startup-ready attitude-comfortable with ambiguity and fast execution Ideally UK-based, but open to remote for the right candidate What's in it for you Shape our future: Play a key role in our team's success, where your voice matters, and you'll have a direct impact on shaping Midnite's future. Connect and unwind: Take part in our quarterly gatherings where our community comes together to bond and have fun. Comprehensive health coverage: Look after your well-being with our outstanding zero-excess health insurance plan, which includes optical and dental coverage. Pension finder: Access to a pension pot finder service to help you keep track. Simplify life: Take advantage of our nursery salary sacrifice scheme, allowing you to conveniently pay your child's nursery fees straight from your paycheck. Work-life balance: Enjoy 25 paid holidays a year, plus generous paid maternity, paternity, and adoption leave, supporting you during life's most important moments. Financial advice: You'll get access to expert financial advice and guidance. Productive home office: We provide everything you need for a comfortable and ergonomic home setup, ensuring you're as productive as possible. Flexible working: We embrace flexible working, allowing you to adjust your schedule when life's unexpected moments arise. Latest tech made easy: With our salary sacrifice schemes, you can upgrade to the latest gadgets, household items, and mobile tech without the upfront cost. Exclusive perks: Enjoy a wide range of discounts on retailers, groceries, and subscriptions, making life a little more affordable. Grow with us: Expand your skills through internal and external learning opportunities while benefiting from access to mentorship programs that support your development. Transparent compensation: We provide competitive pay with clear team bandings and salary grids, ensuring that salary discussions are simple and fair. Constructive feedback: We foster a transparent culture, encouraging individual feedback and review sessions to help everyone improve. At Midnite, we're committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.
LexisNexis Risk Solutions
Principal Software Engineer - Cloud & Data Platforms
LexisNexis Risk Solutions Southampton, Hampshire
A global information analytics company in Southampton is seeking a Principal Software Engineer. The successful candidate will deliver resilient solutions, collaborate across teams, and have expertise in AWS and Terraform. This role requires a commitment to learning in a dynamic environment and the ability to thrive in a fast-paced setting. Competitive benefits include generous holiday allowance and health screening programs.
Nov 21, 2025
Full time
A global information analytics company in Southampton is seeking a Principal Software Engineer. The successful candidate will deliver resilient solutions, collaborate across teams, and have expertise in AWS and Terraform. This role requires a commitment to learning in a dynamic environment and the ability to thrive in a fast-paced setting. Competitive benefits include generous holiday allowance and health screening programs.
Head of Marketing & Sales
STRATOS Technologies Ltd.
At STRATOS Technologies, we are redefining how organizations make strategic, data-driven decisions. Our Strategy Operating System integrates complex datasets - from internal systems to external market intelligence - into actionable insights that empower leaders to plan, prioritize, and execute with clarity. Backed by Accel and trusted by Fortune 500 enterprises, STRATOS is now entering a phase of rapid expansion. We are seeking a Head of Marketing & Sales to shape and lead our commercial growth strategy - driving market awareness, pipeline generation, and customer acquisition. This role is perfect for a senior leader who combines strategic marketing expertise with commercial acumen. You will build STRATOS into a category-defining brand, while ensuring our marketing and sales motions work seamlessly to convert awareness into impact. You'll report directly to the CEO and collaborate closely with Product, Customer Success, and Strategy to position STRATOS at the forefront of enterprise innovation. Tasks Marketing Leadership & Brand Building Develop and own STRATOS's global marketing strategy, encompassing positioning, messaging, and thought leadership. Architect a high-impact brand presence through digital campaigns, content, PR, and events - positioning STRATOS as a market leader in strategic intelligence and decision systems. Build and scale demand generation programs that deliver qualified enterprise pipeline and measurable ROI. Collaborate with Product and Customer Success to create compelling narratives, case studies, and customer stories that amplify real-world outcomes. Drive data-informed marketing operations, using analytics to optimize spend, targeting, and conversion performance. Go-to-Market & Revenue Growth Define and execute the end-to-end go-to-market strategy, ensuring tight alignment between marketing, sales, and post-sale motions. Partner with the CEO to refine pricing, packaging, and market segmentation to unlock scalable growth. Create clear frameworks for lead management, funnel conversion, and customer journey orchestration. Oversee commercial OKRs and forecasting, ensuring strong revenue predictability and accountability across the organization. Sales & Partnerships Build and mentor a high-performing sales organization, capable of managing complex enterprise deals and partnerships. Lead strategic client engagements, shaping multi-stakeholder relationships and supporting key deal cycles. Identify and cultivate ecosystem partnerships that extend STRATOS's reach and accelerate market penetration. Strategic Leadership Serve as a key member of the executive team, contributing to company strategy, growth planning, and fundraising. Translate market intelligence into actionable insights that guide product development and commercial decision-making. Represent STRATOS externally - at conferences, panels, and with the press - as a thought leader in data-driven strategy. Requirements What's Important to Us 10+ years of experience in marketing, growth, or commercial leadership within B2B SaaS, ideally with experience bridging marketing and sales. Proven success in building and scaling demand generation, product marketing, sales, and brand strategy functions. Strong understanding of enterprise software sales cycles, able to bridge storytelling with revenue performance. Exceptional leadership and communication skills - able to inspire teams and engage with C-level stakeholders. Analytical, data-driven mindset with a strong strategic orientation. Entrepreneurial and hands-on, thriving in fast-paced, high-growth environments. Deep empathy for customers and passion for shaping narratives that move markets. What's Nice to Have Experience in category creation or market evangelism within data, analytics, or AI sectors. Background in strategy consulting, venture building, or product-led growth. Track record of building or rebranding a company from Series A to global scale. German language skills Benefits What We Offer A best-in-class team combining excellence in Data Engineering, AI, Strategy Consulting and B2B Executive Leadership A category-defining product The opportunity to build a world-class brand and go-to-market engine from the ground up. Highly competitive compensation with significant equity participation. Work directly with the CEO and leadership team, shaping the trajectory of a venture-backed, high-growth SaaS company. A culture of creativity, impact, and ownership - where marketing is central to company success. Hybrid and flexible work model, with a barista-equipped office in Soho, London A company committed to sustainability and purpose - net-zero CO and donating 1% of revenue to social causes Private health insurance
Nov 21, 2025
Full time
At STRATOS Technologies, we are redefining how organizations make strategic, data-driven decisions. Our Strategy Operating System integrates complex datasets - from internal systems to external market intelligence - into actionable insights that empower leaders to plan, prioritize, and execute with clarity. Backed by Accel and trusted by Fortune 500 enterprises, STRATOS is now entering a phase of rapid expansion. We are seeking a Head of Marketing & Sales to shape and lead our commercial growth strategy - driving market awareness, pipeline generation, and customer acquisition. This role is perfect for a senior leader who combines strategic marketing expertise with commercial acumen. You will build STRATOS into a category-defining brand, while ensuring our marketing and sales motions work seamlessly to convert awareness into impact. You'll report directly to the CEO and collaborate closely with Product, Customer Success, and Strategy to position STRATOS at the forefront of enterprise innovation. Tasks Marketing Leadership & Brand Building Develop and own STRATOS's global marketing strategy, encompassing positioning, messaging, and thought leadership. Architect a high-impact brand presence through digital campaigns, content, PR, and events - positioning STRATOS as a market leader in strategic intelligence and decision systems. Build and scale demand generation programs that deliver qualified enterprise pipeline and measurable ROI. Collaborate with Product and Customer Success to create compelling narratives, case studies, and customer stories that amplify real-world outcomes. Drive data-informed marketing operations, using analytics to optimize spend, targeting, and conversion performance. Go-to-Market & Revenue Growth Define and execute the end-to-end go-to-market strategy, ensuring tight alignment between marketing, sales, and post-sale motions. Partner with the CEO to refine pricing, packaging, and market segmentation to unlock scalable growth. Create clear frameworks for lead management, funnel conversion, and customer journey orchestration. Oversee commercial OKRs and forecasting, ensuring strong revenue predictability and accountability across the organization. Sales & Partnerships Build and mentor a high-performing sales organization, capable of managing complex enterprise deals and partnerships. Lead strategic client engagements, shaping multi-stakeholder relationships and supporting key deal cycles. Identify and cultivate ecosystem partnerships that extend STRATOS's reach and accelerate market penetration. Strategic Leadership Serve as a key member of the executive team, contributing to company strategy, growth planning, and fundraising. Translate market intelligence into actionable insights that guide product development and commercial decision-making. Represent STRATOS externally - at conferences, panels, and with the press - as a thought leader in data-driven strategy. Requirements What's Important to Us 10+ years of experience in marketing, growth, or commercial leadership within B2B SaaS, ideally with experience bridging marketing and sales. Proven success in building and scaling demand generation, product marketing, sales, and brand strategy functions. Strong understanding of enterprise software sales cycles, able to bridge storytelling with revenue performance. Exceptional leadership and communication skills - able to inspire teams and engage with C-level stakeholders. Analytical, data-driven mindset with a strong strategic orientation. Entrepreneurial and hands-on, thriving in fast-paced, high-growth environments. Deep empathy for customers and passion for shaping narratives that move markets. What's Nice to Have Experience in category creation or market evangelism within data, analytics, or AI sectors. Background in strategy consulting, venture building, or product-led growth. Track record of building or rebranding a company from Series A to global scale. German language skills Benefits What We Offer A best-in-class team combining excellence in Data Engineering, AI, Strategy Consulting and B2B Executive Leadership A category-defining product The opportunity to build a world-class brand and go-to-market engine from the ground up. Highly competitive compensation with significant equity participation. Work directly with the CEO and leadership team, shaping the trajectory of a venture-backed, high-growth SaaS company. A culture of creativity, impact, and ownership - where marketing is central to company success. Hybrid and flexible work model, with a barista-equipped office in Soho, London A company committed to sustainability and purpose - net-zero CO and donating 1% of revenue to social causes Private health insurance
AI Machine Learning Engineer: AI Shopping Agents (Remote)
Constructor
About Us Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. Constructor is seeking an experienced AI Engineer to design and build our Agent Products. In this role, you will focus on developing and rigorously evaluating sophisticated RAG pipelines and agentic workflows that power new ways of shopping. Our LLM-powered agents utilize various tools to interact with customers' catalogs, enable advanced retrieval, and assist with browsing to answer open-ended user queries. These agents provide high-quality, well-cited answers and deliver exceptional product recommendations. Responsibilities Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features Improve the speed, quality, and efficiency of our AI systems and engineering processes Take ownership of systems and designs from conception through to deployment and maintenance Qualifications 4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP Excellent skills in delivering and communicating business value Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies) Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy) Solid understanding of ML evaluation methodologies and key IR metrics Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks Tech Stack Core: Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph Data Stores: Vector Databases, DynamoDB, AWS S3, AWS RDS Cloud & MLOps: AWS, Databricks, Ray ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year Fully remote team - choose where you live ️ Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Maternity & Paternity leave for qualified employees Work with smart people who will help you grow and make a meaningful impact This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results. Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.
Nov 21, 2025
Full time
About Us Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. Constructor is seeking an experienced AI Engineer to design and build our Agent Products. In this role, you will focus on developing and rigorously evaluating sophisticated RAG pipelines and agentic workflows that power new ways of shopping. Our LLM-powered agents utilize various tools to interact with customers' catalogs, enable advanced retrieval, and assist with browsing to answer open-ended user queries. These agents provide high-quality, well-cited answers and deliver exceptional product recommendations. Responsibilities Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features Improve the speed, quality, and efficiency of our AI systems and engineering processes Take ownership of systems and designs from conception through to deployment and maintenance Qualifications 4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP Excellent skills in delivering and communicating business value Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies) Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy) Solid understanding of ML evaluation methodologies and key IR metrics Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks Tech Stack Core: Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph Data Stores: Vector Databases, DynamoDB, AWS S3, AWS RDS Cloud & MLOps: AWS, Databricks, Ray ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year Fully remote team - choose where you live ️ Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Maternity & Paternity leave for qualified employees Work with smart people who will help you grow and make a meaningful impact This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results. Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.
Enterprise Account Executive New London, England, United Kingdom
Sumo Logic
Sumo Logic helps make the digital world faster, reliable and more secure . Our purpose is to bring teams together to solve observability and security issues for digital enterprises. Sumo is a SaaS Analytics pioneer in continuous intelligence, a new category of software, which enables organisations of all sizes to address the data challenges and opportunities presented by digital transformation, modern applications, and cloud computing. The Sumo Logic Continuous Intelligence Platform automates the collection, ingestion, and analysis of application, infrastructure, security, and IoT data to derive actionable insights within seconds. More than 2,400 customers rely on Sumo Logic to build, run, and secure their modern applications and cloud infrastructures. Only Sumo Logic delivers its platform as a true, multi-tenant SaaS architecture, across multiple use-cases, enabling businesses to thrive in the Intelligence Economy. We are seeking an experienced and highly motivated tech savvy, sales professional to help us fuel our growth and develop our relationships with both new and existing customers. We seek an experienced salesperson able to effectively balance high velocity deals with larger complex deals, working in partnership with our channel partners. Our ideal candidate will be a hunter, who has consistently been in the top 10% of the sales teams she/he has worked within. They will have a track record of growing sales, a creative and consultative approach, be able to take initiative to produce results combined with polished presentation skills. Job Responsibilities Target, manage and sell to new and existing customers, exceed revenue quota goals. Demonstrate the ability to address each customer and partner's unique needs, while providing them with the relevant information and appropriate solutions. Working alongside your dedicated Pre-Sales Engineer deliver compelling demo's, discovery and technical solutions that meet the customers business and technical needs Align with your dedicated SDR to create compelling outreach campaigns and generate sales pipeline. Qualify and manage inbound leads in order to process through the sales funnel. Close and process all prospects, managing an end-to-end sales lifecycle working alongside our talented Pre-Sales Engineers, Professional Services, Sales operations, deal desk, legal and marketing teams Engage with Channel Partners and Alliances to extend market reach. Work closely with our Customer Success Team for client reviews. Create and deliver accurate sales forecasts. Provide timely and insightful input back to other corporate functions, particularly product management and marketing. Desired Qualifications, Skills and Experience Effective Selling Demonstrable sales experience selling B2B software applications; on-demand/SaaS, Security Solutions & IT Infrastructure Management solutions. Proven track record of selling to both a technical audience like IT Operations, Security, and Dev/Ops leaders and practitioners, as well as engaging with Economic Buyers C-level and Procurement teams. Deliver oral and written communications that are impactful and persuasive with their intended audience Build compelling presentations in conjunction with SE's for PoV's, Pro Services and commercial business cases Customer & Territory Management Act in ways that demonstrate customer focus and satisfaction by building effective relationships with customers and prospects. Identifying, meeting and exceeding customer expectations, by treating customers with dignity and respect. Manage territory, considering each and all accounts, collectively. Establish accurate plans and forecast, prioritise efforts, generate short term results whilst holding a long term perspective to maximise overall territory viability. In-depth knowledge of given industry and relevant marketplace; can speak with authority, e.g., on industry trends, best practices, competitive practices, regulatory issues, etc. Cultural Fit Thrive in a fast-paced, high-growth and rapidly changing industry. Passionate about technology to resolve customer problems and operates as a team player, who communicates effectively, and works well in a winning but positive team environment. Experienced in company applications such as CRM SFDC and is consistent and timely delivering key tasks such as forecasts, completing enablement training and attending essential company meetings, town halls. Good understanding of sales methodologies such as Meddpicc, sales challengers or other sales methods. What we can offer you Excellent remuneration package with quarterly wellness days and other benefits Opportunity to earn with an excellent commission complan, built in accelerators, exciting quarterly SPIFFs, President Club, and other awards Full Onboarding and enablement to develop your skills and continuous learning Creative and innovative Leadership team who are engaged with our field sales teams A growing client base, - we are challenging the traditional & legacy ISV's in this space A dynamic but empathetic, and caring culture - all SUMO's are respected across the world and celebrate diversity We have won over 60+ awards as one of the best places to work! An award winning and truly powerful SaaS Analytics platform, in Gartner MQ for both Security & Observability About Us Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness-combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit . Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection. Created job description for publication.
Nov 21, 2025
Full time
Sumo Logic helps make the digital world faster, reliable and more secure . Our purpose is to bring teams together to solve observability and security issues for digital enterprises. Sumo is a SaaS Analytics pioneer in continuous intelligence, a new category of software, which enables organisations of all sizes to address the data challenges and opportunities presented by digital transformation, modern applications, and cloud computing. The Sumo Logic Continuous Intelligence Platform automates the collection, ingestion, and analysis of application, infrastructure, security, and IoT data to derive actionable insights within seconds. More than 2,400 customers rely on Sumo Logic to build, run, and secure their modern applications and cloud infrastructures. Only Sumo Logic delivers its platform as a true, multi-tenant SaaS architecture, across multiple use-cases, enabling businesses to thrive in the Intelligence Economy. We are seeking an experienced and highly motivated tech savvy, sales professional to help us fuel our growth and develop our relationships with both new and existing customers. We seek an experienced salesperson able to effectively balance high velocity deals with larger complex deals, working in partnership with our channel partners. Our ideal candidate will be a hunter, who has consistently been in the top 10% of the sales teams she/he has worked within. They will have a track record of growing sales, a creative and consultative approach, be able to take initiative to produce results combined with polished presentation skills. Job Responsibilities Target, manage and sell to new and existing customers, exceed revenue quota goals. Demonstrate the ability to address each customer and partner's unique needs, while providing them with the relevant information and appropriate solutions. Working alongside your dedicated Pre-Sales Engineer deliver compelling demo's, discovery and technical solutions that meet the customers business and technical needs Align with your dedicated SDR to create compelling outreach campaigns and generate sales pipeline. Qualify and manage inbound leads in order to process through the sales funnel. Close and process all prospects, managing an end-to-end sales lifecycle working alongside our talented Pre-Sales Engineers, Professional Services, Sales operations, deal desk, legal and marketing teams Engage with Channel Partners and Alliances to extend market reach. Work closely with our Customer Success Team for client reviews. Create and deliver accurate sales forecasts. Provide timely and insightful input back to other corporate functions, particularly product management and marketing. Desired Qualifications, Skills and Experience Effective Selling Demonstrable sales experience selling B2B software applications; on-demand/SaaS, Security Solutions & IT Infrastructure Management solutions. Proven track record of selling to both a technical audience like IT Operations, Security, and Dev/Ops leaders and practitioners, as well as engaging with Economic Buyers C-level and Procurement teams. Deliver oral and written communications that are impactful and persuasive with their intended audience Build compelling presentations in conjunction with SE's for PoV's, Pro Services and commercial business cases Customer & Territory Management Act in ways that demonstrate customer focus and satisfaction by building effective relationships with customers and prospects. Identifying, meeting and exceeding customer expectations, by treating customers with dignity and respect. Manage territory, considering each and all accounts, collectively. Establish accurate plans and forecast, prioritise efforts, generate short term results whilst holding a long term perspective to maximise overall territory viability. In-depth knowledge of given industry and relevant marketplace; can speak with authority, e.g., on industry trends, best practices, competitive practices, regulatory issues, etc. Cultural Fit Thrive in a fast-paced, high-growth and rapidly changing industry. Passionate about technology to resolve customer problems and operates as a team player, who communicates effectively, and works well in a winning but positive team environment. Experienced in company applications such as CRM SFDC and is consistent and timely delivering key tasks such as forecasts, completing enablement training and attending essential company meetings, town halls. Good understanding of sales methodologies such as Meddpicc, sales challengers or other sales methods. What we can offer you Excellent remuneration package with quarterly wellness days and other benefits Opportunity to earn with an excellent commission complan, built in accelerators, exciting quarterly SPIFFs, President Club, and other awards Full Onboarding and enablement to develop your skills and continuous learning Creative and innovative Leadership team who are engaged with our field sales teams A growing client base, - we are challenging the traditional & legacy ISV's in this space A dynamic but empathetic, and caring culture - all SUMO's are respected across the world and celebrate diversity We have won over 60+ awards as one of the best places to work! An award winning and truly powerful SaaS Analytics platform, in Gartner MQ for both Security & Observability About Us Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness-combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit . Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection. Created job description for publication.
LexisNexis Risk Solutions
Cloud Data Infrastructure Engineer for Analytics
LexisNexis Risk Solutions Southampton, Hampshire
A leading analytics firm in Southampton is looking for a Principal Software Engineer to build and maintain infrastructure and applications. The successful candidate will be well-versed in AWS and Terraform, providing resilient solutions and resolving technical issues. This role promotes collaboration and innovation in a fast-paced environment. A hybrid working arrangement is available, requiring attendance at the Southampton office two days a week.
Nov 21, 2025
Full time
A leading analytics firm in Southampton is looking for a Principal Software Engineer to build and maintain infrastructure and applications. The successful candidate will be well-versed in AWS and Terraform, providing resilient solutions and resolving technical issues. This role promotes collaboration and innovation in a fast-paced environment. A hybrid working arrangement is available, requiring attendance at the Southampton office two days a week.
LexisNexis Risk Solutions
Consulting/Principal Software Engineer
LexisNexis Risk Solutions Southampton, Hampshire
.Consulting/Principal Software Engineer page is loaded Consulting/Principal Software Engineerlocations: UK - Grosvenor House (Southampton)time type: Full timeposted on: Posted Todayjob requisition id: R104268 Principal Software Engineer About Cirium: Cirium is transforming the way the world understands aviation data. We connect the industry through innovative analytics, helping airlines, airports, travel companies, tech giants, manufacturers, and financial institutions accelerate their digital transformation. Join us to shape the future of aviation. About the Team: You'll join a collaborative, curious team of professionals at all levels. We value diverse perspectives and encourage ownership in solving challenges end-to-end-from exploring new data sources to designing and deploying predictive models. About the role: As a member of our Team, you'll contribute to building, maintaining, and supporting our infrastructure and applications. You'll work with talented colleagues, communicate effectively, and thrive in a fast-paced environment. Responsibilities: Deliver resilient solutions using DevOps practices and "Infrastructure as Code" Diagnose and resolve complex technical issues Write and maintain documentation for technical and non-technical audiences Collaborate across teams to drive innovation and continuous improvement Uphold our commitment to accessibility, inclusion, and data-driven decision-making Requirements: Experience in AWS, Terraform, Python, Athena, Glue, Lambda, Databricks, S3, EKS, ECS, SQL, Rust, Snowflake. Ability to communicate clearly and respectfully with diverse audiences Commitment to learning and adapting in a dynamic environment Willingness to attend our Southampton office 2 days per week (reasonable accommodations available) Experience in data platforms , distributed systems, and data pipelines in cloud-native environments. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Nov 21, 2025
Full time
.Consulting/Principal Software Engineer page is loaded Consulting/Principal Software Engineerlocations: UK - Grosvenor House (Southampton)time type: Full timeposted on: Posted Todayjob requisition id: R104268 Principal Software Engineer About Cirium: Cirium is transforming the way the world understands aviation data. We connect the industry through innovative analytics, helping airlines, airports, travel companies, tech giants, manufacturers, and financial institutions accelerate their digital transformation. Join us to shape the future of aviation. About the Team: You'll join a collaborative, curious team of professionals at all levels. We value diverse perspectives and encourage ownership in solving challenges end-to-end-from exploring new data sources to designing and deploying predictive models. About the role: As a member of our Team, you'll contribute to building, maintaining, and supporting our infrastructure and applications. You'll work with talented colleagues, communicate effectively, and thrive in a fast-paced environment. Responsibilities: Deliver resilient solutions using DevOps practices and "Infrastructure as Code" Diagnose and resolve complex technical issues Write and maintain documentation for technical and non-technical audiences Collaborate across teams to drive innovation and continuous improvement Uphold our commitment to accessibility, inclusion, and data-driven decision-making Requirements: Experience in AWS, Terraform, Python, Athena, Glue, Lambda, Databricks, S3, EKS, ECS, SQL, Rust, Snowflake. Ability to communicate clearly and respectfully with diverse audiences Commitment to learning and adapting in a dynamic environment Willingness to attend our Southampton office 2 days per week (reasonable accommodations available) Experience in data platforms , distributed systems, and data pipelines in cloud-native environments. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
SOFTCAT PLC
Azure Data Engineer
SOFTCAT PLC Marlow, Buckinghamshire
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate and collaborative team? As one of the UK's leading IT infrastructure providers and a FTSE 250 listed company, we have built a reputation for excellence. Our strategy is simple - we believe that highly engaged employees are the key to building customer trust and loyalty over the years. This trust and loyalty, combined with our market leading growth and performance, enables us to invest in our technology and services capabilities. Softcat is an amazing success story and as part of our continued growth we are investing significantly more in a new technology strategy going forward. Softcat's internal undergoing an exciting transformation; this evolution aims to provide greater opportunities for our people's professional development and prepare us to execute our more ambitious technology strategy effectively. Introduction to Data Data and analytics at Softcat are in transformation and acceleration with a focus on cloud technology, automation, reducing technical debt, foundational data management and controlled self-service alongside company wide strategic initiatives where data plays a major role in its success. To support the exciting Data strategy at Softcat, the Data Services team are looking to continually improve all things related to Data and analytics for the next 3 5 years. To support that, we are looking to expand the team. As Azure Data Engineer, you'll be responsible for: Design, develop, test, and maintain robust, reusable data pipelines using Azure Data Factory (orchestration), Azure Databricks (transformations in PySpark/Spark SQL), and DBT (SQL based modelling) Prepare, clean, and transform unstructured and semi structured data for LLM training, fine tuning, and prompt engineering workflows Develop Python based ETL/ELT scripts, data transformation utilities, and automation tools Implement CI/CD pipelines using Azure DevOps and Databricks Asset Bundles for data workflows, promoting automation, reproducibility, and minimal manual intervention Collaborate with Data Scientists, AI/ML Engineers, and Analysts to optimise the flow of data into ML and LLM models We'd love you to have Strong hands on experience with Azure Data Factory (pipelines, triggers, parameterisation, linked services) Strong hands on experience with Azure Databricks (PySpark, Spark SQL, Delta Lake, performance tuning) Strong SQL development skills, including performance tuning and working with large datasets Proficiency with Python for data engineering tasks (e.g., Pandas, PySpark, data cleaning, API integrations) Proficiency with DBT (data modelling, macros, testing, documentation) Experience with Azure DevOps for Git based source control and deployment pipelines for data solutions Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives and embraces every background. To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at culture/ We offer a competitive salary and benefits package and will provide you with opportunities to grow, flourish, and achieve great things. Our benefits include: Benefits Pension Share incentive plan Life Assurance Holiday Trips Vouchers Partner/family Benefits Maternity, Paternity and Adoption support
Nov 21, 2025
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate and collaborative team? As one of the UK's leading IT infrastructure providers and a FTSE 250 listed company, we have built a reputation for excellence. Our strategy is simple - we believe that highly engaged employees are the key to building customer trust and loyalty over the years. This trust and loyalty, combined with our market leading growth and performance, enables us to invest in our technology and services capabilities. Softcat is an amazing success story and as part of our continued growth we are investing significantly more in a new technology strategy going forward. Softcat's internal undergoing an exciting transformation; this evolution aims to provide greater opportunities for our people's professional development and prepare us to execute our more ambitious technology strategy effectively. Introduction to Data Data and analytics at Softcat are in transformation and acceleration with a focus on cloud technology, automation, reducing technical debt, foundational data management and controlled self-service alongside company wide strategic initiatives where data plays a major role in its success. To support the exciting Data strategy at Softcat, the Data Services team are looking to continually improve all things related to Data and analytics for the next 3 5 years. To support that, we are looking to expand the team. As Azure Data Engineer, you'll be responsible for: Design, develop, test, and maintain robust, reusable data pipelines using Azure Data Factory (orchestration), Azure Databricks (transformations in PySpark/Spark SQL), and DBT (SQL based modelling) Prepare, clean, and transform unstructured and semi structured data for LLM training, fine tuning, and prompt engineering workflows Develop Python based ETL/ELT scripts, data transformation utilities, and automation tools Implement CI/CD pipelines using Azure DevOps and Databricks Asset Bundles for data workflows, promoting automation, reproducibility, and minimal manual intervention Collaborate with Data Scientists, AI/ML Engineers, and Analysts to optimise the flow of data into ML and LLM models We'd love you to have Strong hands on experience with Azure Data Factory (pipelines, triggers, parameterisation, linked services) Strong hands on experience with Azure Databricks (PySpark, Spark SQL, Delta Lake, performance tuning) Strong SQL development skills, including performance tuning and working with large datasets Proficiency with Python for data engineering tasks (e.g., Pandas, PySpark, data cleaning, API integrations) Proficiency with DBT (data modelling, macros, testing, documentation) Experience with Azure DevOps for Git based source control and deployment pipelines for data solutions Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives and embraces every background. To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at culture/ We offer a competitive salary and benefits package and will provide you with opportunities to grow, flourish, and achieve great things. Our benefits include: Benefits Pension Share incentive plan Life Assurance Holiday Trips Vouchers Partner/family Benefits Maternity, Paternity and Adoption support
SOFTCAT PLC
Azure Data Engineer
SOFTCAT PLC Leeds, Yorkshire
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate and collaborative team? As one of the UK's leading IT infrastructure providers and a FTSE 250 listed company, we have built a reputation for excellence. Our strategy is simple - we believe that highly engaged employees are the key to building customer trust and loyalty over the years. This trust and loyalty, combined with our market leading growth and performance, enables us to invest in our technology and services capabilities. Softcat is an amazing success story and as part of our continued growth we are investing significantly more in a new technology strategy going forward. Softcat's internal undergoing an exciting transformation; this evolution aims to provide greater opportunities for our people's professional development and prepare us to execute our more ambitious technology strategy effectively. Introduction to Data Data and analytics at Softcat are in transformation and acceleration with a focus on cloud technology, automation, reducing technical debt, foundational data management and controlled self-service alongside company wide strategic initiatives where data plays a major role in its success. To support the exciting Data strategy at Softcat, the Data Services team are looking to continually improve all things related to Data and analytics for the next 3 5 years. To support that, we are looking to expand the team. As Azure Data Engineer, you'll be responsible for: Design, develop, test, and maintain robust, reusable data pipelines using Azure Data Factory (orchestration), Azure Databricks (transformations in PySpark/Spark SQL), and DBT (SQL based modelling) Prepare, clean, and transform unstructured and semi structured data for LLM training, fine tuning, and prompt engineering workflows Develop Python based ETL/ELT scripts, data transformation utilities, and automation tools Implement CI/CD pipelines using Azure DevOps and Databricks Asset Bundles for data workflows, promoting automation, reproducibility, and minimal manual intervention Collaborate with Data Scientists, AI/ML Engineers, and Analysts to optimise the flow of data into ML and LLM models We'd love you to have Strong hands on experience with Azure Data Factory (pipelines, triggers, parameterisation, linked services) Strong hands on experience with Azure Databricks (PySpark, Spark SQL, Delta Lake, performance tuning) Strong SQL development skills, including performance tuning and working with large datasets Proficiency with Python for data engineering tasks (e.g., Pandas, PySpark, data cleaning, API integrations) Proficiency with DBT (data modelling, macros, testing, documentation) Experience with Azure DevOps for Git based source control and deployment pipelines for data solutions Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives and embraces every background. To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at culture/ We offer a competitive salary and benefits package and will provide you with opportunities to grow, flourish, and achieve great things. Our benefits include: Benefits Pension Share incentive plan Life Assurance Holiday Trips Vouchers Partner/family Benefits Maternity, Paternity and Adoption support
Nov 21, 2025
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate and collaborative team? As one of the UK's leading IT infrastructure providers and a FTSE 250 listed company, we have built a reputation for excellence. Our strategy is simple - we believe that highly engaged employees are the key to building customer trust and loyalty over the years. This trust and loyalty, combined with our market leading growth and performance, enables us to invest in our technology and services capabilities. Softcat is an amazing success story and as part of our continued growth we are investing significantly more in a new technology strategy going forward. Softcat's internal undergoing an exciting transformation; this evolution aims to provide greater opportunities for our people's professional development and prepare us to execute our more ambitious technology strategy effectively. Introduction to Data Data and analytics at Softcat are in transformation and acceleration with a focus on cloud technology, automation, reducing technical debt, foundational data management and controlled self-service alongside company wide strategic initiatives where data plays a major role in its success. To support the exciting Data strategy at Softcat, the Data Services team are looking to continually improve all things related to Data and analytics for the next 3 5 years. To support that, we are looking to expand the team. As Azure Data Engineer, you'll be responsible for: Design, develop, test, and maintain robust, reusable data pipelines using Azure Data Factory (orchestration), Azure Databricks (transformations in PySpark/Spark SQL), and DBT (SQL based modelling) Prepare, clean, and transform unstructured and semi structured data for LLM training, fine tuning, and prompt engineering workflows Develop Python based ETL/ELT scripts, data transformation utilities, and automation tools Implement CI/CD pipelines using Azure DevOps and Databricks Asset Bundles for data workflows, promoting automation, reproducibility, and minimal manual intervention Collaborate with Data Scientists, AI/ML Engineers, and Analysts to optimise the flow of data into ML and LLM models We'd love you to have Strong hands on experience with Azure Data Factory (pipelines, triggers, parameterisation, linked services) Strong hands on experience with Azure Databricks (PySpark, Spark SQL, Delta Lake, performance tuning) Strong SQL development skills, including performance tuning and working with large datasets Proficiency with Python for data engineering tasks (e.g., Pandas, PySpark, data cleaning, API integrations) Proficiency with DBT (data modelling, macros, testing, documentation) Experience with Azure DevOps for Git based source control and deployment pipelines for data solutions Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives and embraces every background. To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at culture/ We offer a competitive salary and benefits package and will provide you with opportunities to grow, flourish, and achieve great things. Our benefits include: Benefits Pension Share incentive plan Life Assurance Holiday Trips Vouchers Partner/family Benefits Maternity, Paternity and Adoption support
Senior Software Engineer - Engineering Tools
Arrow McLaren IndyCar Woking, Surrey
At McLaren, our mission is to set the standard for high performance in sport. Everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching And measure your progress in milliseconds And play your part in racing history You belong here. High performance starts with you. Purpose of the Role The pinnacle of motorsport excellence is built on a foundation of strong reliability of the team, processes, and the racing car. The Reliability Software Engineering role is responsible for building and operating the tools which allow McLaren F1 to achieve the highest levels of operational reliability. This role will work closely with end users to design and implement software tools which track and manage issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools and methodologies which improve the team and car's performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and will have experience in building complex user interfaces that can present and manage large amounts of data. As a Senior Specialist, Software Engineer, your role will combine elements of technical leadership, agile/lean project delivery, and stakeholder management. You'll be involved in all stages of the development life cycle from initial analysis through deployment, monitoring, and support. You will own systems architecture for the software you deliver, integrating with the wider McLaren F1 racing platform, and will balance the requirements of reliability engineering with the big picture in Racing to build a cohesive application estate. The role will be primarily based at the McLaren Technology Centre with a proportion of the time spent working from home. Principal Accountabilities Partner with Product Management to capture and understand project requirements, define specifications, and to architect robust, scalable, and testable software solutions for reliability tools. Own the technical roadmap for Engineering tools, ensuring that you deliver on the priorities of the wider Engineering group. Planning up to a year in advance, you'll iteratively deliver against the backlog of features that are most important to the team. Deliver Engineering tools using agile methodologies and built on the McLaren F1 software platform, in partnership and collaboration with the wider Software Engineering team. Operate and support the software that you build on race days, which may include limited on-call to resolve mission critical issues. Support the prioritisation and resource requirements of projects across Engineering. Knowledge, Skills and Experience Essential Bsc in Computer Science or equivalent discipline (2:1 or above) or equivalent industry experience. Extensive commercial experience delivering projects using agile/lean methodologies. A strong full stack software development background with an understanding of how to engineer quality software. Considerable commercial development experience with C#/.net, Java, Python, or other development languages. Web development experience using technologies such as JavaScript, TypeScript, and React. Proven experience delivering mission critical software into a demanding production environment. Deep experience using git in a collaborative environment (pull requests, branches). Experience with relational and document databases e.g. SQL Server and MongoDB. Experience designing distributed microservice based architectures. Experience building maintainable codebases using design patterns and modern source control approaches. Using planning tools such as Jira, Github, or Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience with issue and fault management systems. Knowledge and experience of how to integrate with and build OpenAPI/gRPC based systems. Experience building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes Self-motivated with high levels of initiative. Highly productive with the aptitude to understand and apply technology. You enjoy working with people to solve problems, choosing the simplest and most elegant approach then iterating. You're flexible and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part. We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace. McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Here at McLaren, we offer hybrid working with 3 days a week based in the MTC. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride. We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
Nov 21, 2025
Full time
At McLaren, our mission is to set the standard for high performance in sport. Everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching And measure your progress in milliseconds And play your part in racing history You belong here. High performance starts with you. Purpose of the Role The pinnacle of motorsport excellence is built on a foundation of strong reliability of the team, processes, and the racing car. The Reliability Software Engineering role is responsible for building and operating the tools which allow McLaren F1 to achieve the highest levels of operational reliability. This role will work closely with end users to design and implement software tools which track and manage issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools and methodologies which improve the team and car's performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and will have experience in building complex user interfaces that can present and manage large amounts of data. As a Senior Specialist, Software Engineer, your role will combine elements of technical leadership, agile/lean project delivery, and stakeholder management. You'll be involved in all stages of the development life cycle from initial analysis through deployment, monitoring, and support. You will own systems architecture for the software you deliver, integrating with the wider McLaren F1 racing platform, and will balance the requirements of reliability engineering with the big picture in Racing to build a cohesive application estate. The role will be primarily based at the McLaren Technology Centre with a proportion of the time spent working from home. Principal Accountabilities Partner with Product Management to capture and understand project requirements, define specifications, and to architect robust, scalable, and testable software solutions for reliability tools. Own the technical roadmap for Engineering tools, ensuring that you deliver on the priorities of the wider Engineering group. Planning up to a year in advance, you'll iteratively deliver against the backlog of features that are most important to the team. Deliver Engineering tools using agile methodologies and built on the McLaren F1 software platform, in partnership and collaboration with the wider Software Engineering team. Operate and support the software that you build on race days, which may include limited on-call to resolve mission critical issues. Support the prioritisation and resource requirements of projects across Engineering. Knowledge, Skills and Experience Essential Bsc in Computer Science or equivalent discipline (2:1 or above) or equivalent industry experience. Extensive commercial experience delivering projects using agile/lean methodologies. A strong full stack software development background with an understanding of how to engineer quality software. Considerable commercial development experience with C#/.net, Java, Python, or other development languages. Web development experience using technologies such as JavaScript, TypeScript, and React. Proven experience delivering mission critical software into a demanding production environment. Deep experience using git in a collaborative environment (pull requests, branches). Experience with relational and document databases e.g. SQL Server and MongoDB. Experience designing distributed microservice based architectures. Experience building maintainable codebases using design patterns and modern source control approaches. Using planning tools such as Jira, Github, or Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience with issue and fault management systems. Knowledge and experience of how to integrate with and build OpenAPI/gRPC based systems. Experience building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes Self-motivated with high levels of initiative. Highly productive with the aptitude to understand and apply technology. You enjoy working with people to solve problems, choosing the simplest and most elegant approach then iterating. You're flexible and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part. We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace. McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Here at McLaren, we offer hybrid working with 3 days a week based in the MTC. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride. We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
Lead AI Consultant
Hitachi Vantara Corporation
Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients. Be part of our Hitachi family We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting the best talent and offering outstanding career opportunities (hitachi-solutions.co.uk) What to expect, your benefits Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer's offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Lead AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family Key Accountabilities Accountable for providing hands-on technical knowledge, while managing client relationships within the project context. Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution. Accountable for maintaining a thorough knowledge of the organization and adhering to organizational standards. Key Responsibilities Capture client requirements and lead the development of solution architectures that meet both current and future business needs Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information In applying for a role with Hitachi Solutions Europe Limited and/or its affiliates ("Hitachi") you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy Policy located at Privacy policy (hitachi-solutions.co.uk) Beware of scams Our recruiting team may communicate with candidates via domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests. All offers will originate from domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.
Nov 21, 2025
Full time
Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients. Be part of our Hitachi family We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting the best talent and offering outstanding career opportunities (hitachi-solutions.co.uk) What to expect, your benefits Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer's offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Lead AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family Key Accountabilities Accountable for providing hands-on technical knowledge, while managing client relationships within the project context. Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution. Accountable for maintaining a thorough knowledge of the organization and adhering to organizational standards. Key Responsibilities Capture client requirements and lead the development of solution architectures that meet both current and future business needs Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information In applying for a role with Hitachi Solutions Europe Limited and/or its affiliates ("Hitachi") you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy Policy located at Privacy policy (hitachi-solutions.co.uk) Beware of scams Our recruiting team may communicate with candidates via domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests. All offers will originate from domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.
Joseph Joseph Ltd
Head of Ecommerce Trading
Joseph Joseph Ltd
At Joseph Joseph, we are driven by a simple yet powerful belief - that intelligent design has the ability to transform everyday living. We create distinctive, thoughtfully engineered products that not only solve real-world problems but also bring joy, beauty, and functionality to daily life. Headquartered in London, we have grown into one of the world's most admired houseware brands, with a presence in over 100 countries and partnerships with leading department stores, independent retailers, and a rapidly expanding e-commerce business. We are looking for a Head of Ecommerce Trading to join us at Joseph Joseph. Reporting to the Ecommerce Director, this role will oversee the day-to-day management of the Ecommerce team, ensuring the effective execution of sales and promotional activities, working closely with other departments to enhance the customer experience and maximise conversion rates. What you will be doing: Develop and implement the overall Ecommerce trading strategy to achieve sales, profit and growth targets. Manage online pricing strategies, product launches, promotional campaigns and seasonal offers to drive performance Provide regular reporting and insight to senior management on trading & KPI performance, highlighting opportunities & risks. Working with the eCommerce director, set weekly & monthly revenue targets aligned with annual net revenue targets. Create & own the trading calendar, ensuring promotional and trading plan is sufficient to meet revenue targets Optimise the online customer experience working with the design and development teams to enhance navigation, search and the checkout experience. Develop a comprehensive experimentation & personalisation program to improve conversion rate Drive AOV Work with demand planning to develop an effective inventory forecast and with logistics to ensure timely customer delivery> Lead a team of 2, develop the ecommerce team, fostering a high-performance culture What we need from you: Proven experience in a senior ecommerce trading role, preferably in a fast-paced retail organisation Strong commercial acumen with a deep understanding of online sales strategies, merchandising, and promotional mechanics Proficient in ecommerce platforms (Shopify essential), web analytics tools (e.g., Google Analytics), and reporting tools. Strong analytical and problem-solving skills with the ability to interpret data and make informed decisions. Strong knowledge of UX/UI principles and A/b testing methodologies Excellent leadership, communication, and stakeholder management skills. Ability to work collaboratively across departments and influence cross-functional teams. What you'll get from us: Competitive salary and holiday allowance Company performance related bonus A pension contribution An exclusive staff discount 24/7 healthcare appointment support Hybrid working - 3 days in office & 2 days from home and flex start/finish times External private employee wellbeing support Access to Perkbox Volunteer days Team Recognition scheme Training and Development Holiday carry-over scheme Season-ticket travel loan Cycle to work scheme Parental Leave support Holiday trading (buy/sell) and extra holiday days for long service
Nov 21, 2025
Full time
At Joseph Joseph, we are driven by a simple yet powerful belief - that intelligent design has the ability to transform everyday living. We create distinctive, thoughtfully engineered products that not only solve real-world problems but also bring joy, beauty, and functionality to daily life. Headquartered in London, we have grown into one of the world's most admired houseware brands, with a presence in over 100 countries and partnerships with leading department stores, independent retailers, and a rapidly expanding e-commerce business. We are looking for a Head of Ecommerce Trading to join us at Joseph Joseph. Reporting to the Ecommerce Director, this role will oversee the day-to-day management of the Ecommerce team, ensuring the effective execution of sales and promotional activities, working closely with other departments to enhance the customer experience and maximise conversion rates. What you will be doing: Develop and implement the overall Ecommerce trading strategy to achieve sales, profit and growth targets. Manage online pricing strategies, product launches, promotional campaigns and seasonal offers to drive performance Provide regular reporting and insight to senior management on trading & KPI performance, highlighting opportunities & risks. Working with the eCommerce director, set weekly & monthly revenue targets aligned with annual net revenue targets. Create & own the trading calendar, ensuring promotional and trading plan is sufficient to meet revenue targets Optimise the online customer experience working with the design and development teams to enhance navigation, search and the checkout experience. Develop a comprehensive experimentation & personalisation program to improve conversion rate Drive AOV Work with demand planning to develop an effective inventory forecast and with logistics to ensure timely customer delivery> Lead a team of 2, develop the ecommerce team, fostering a high-performance culture What we need from you: Proven experience in a senior ecommerce trading role, preferably in a fast-paced retail organisation Strong commercial acumen with a deep understanding of online sales strategies, merchandising, and promotional mechanics Proficient in ecommerce platforms (Shopify essential), web analytics tools (e.g., Google Analytics), and reporting tools. Strong analytical and problem-solving skills with the ability to interpret data and make informed decisions. Strong knowledge of UX/UI principles and A/b testing methodologies Excellent leadership, communication, and stakeholder management skills. Ability to work collaboratively across departments and influence cross-functional teams. What you'll get from us: Competitive salary and holiday allowance Company performance related bonus A pension contribution An exclusive staff discount 24/7 healthcare appointment support Hybrid working - 3 days in office & 2 days from home and flex start/finish times External private employee wellbeing support Access to Perkbox Volunteer days Team Recognition scheme Training and Development Holiday carry-over scheme Season-ticket travel loan Cycle to work scheme Parental Leave support Holiday trading (buy/sell) and extra holiday days for long service
Senior Quantitative Developer
EDF Trading Ltd
Senior Quantitative Developer page is loaded Senior Quantitative Developerlocations: Londontime type: Full timeposted on: Posted 5 Days Agojob requisition id: JRWhen you join EDF Trading, you'll become part of a diverse international team of experts who challenge conventional ideas, test new approaches, and think outside the box.Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in power, gas, LNG, LPG, oil, and environmental products.EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it's experience that makes us leaders in the field. Energy is what we do.Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.Join us, make a difference, and help shape the future of energy.Job Description: Department Optimisation and Trading Analytical TeamThe Energy Market Analytics department houses the Optimisation and Trading Analytical Team, a dynamic group of 10 professionals based in both Paris and London.Our team's primary mission is to develop sophisticated market forecasting models and asset optimisation tools. These tools are instrumental in supporting EDF Trading's proprietary activities and optimising the EDF Group portfolio.The team efforts are directed towards both the short-term electricity markets as well as the longer-term horizon and other commodities. We work closely with the trading desks and other analyst teams in both locations, fostering a collaborative environment that drives our success. Position purpose The Senior Quantitative Developer will contribute to the analytics suite of EDFT for short-term power market analysis and price forecasting through work on our platform for analytics and underlying data and model infrastructure.We're looking for a strongly motivated individual with excellent technical skills and an interest in energy analytics and trading. Main responsibilities Improve the team's existing analytical platform by proposing and implementing solutions to enhance performance and applications stability (e.g., optimisation of memory usage, usage of cloud technologies, increase parallelisation, data modelling and migration), or creating dashboards and decision-making tools Collaborate with analysts to support the platform and participate in the design and deployment in production of new analytical features and models Work with traders to understand the project requirements and translate them into technical solutions to be implemented in the platform Work with the EDFT IT team to develop a scalable technology platform over the long term Experience and technical requirements 5+ years' experience in a similar role (software engineer or quantitative developer) with exposure to analytics.Essential skills Very strong object-oriented programming skills (demonstrated in Python or other) Experience with CI/CD pipelines, proficiency with Git SQL, NoSQL databases Knowledge of cloud computingBeneficial skills: Python, API frameworks (Flask, FastAPI), package managers (poetry, uv) Knowledge of more than one programming language Exposure to energy markets or trading environment Knowledge of front-end development (e.g., Streamlit/ Angular 10/ Node.js) Columnar databases Experience with cloud computing such as Azure suite Docker, Kubernetes Person specification Educated to degree level with a high computer science component Hands-on approach, flexible and positive attitude Attention to detail and strong focus on accuracy of information Prioritization and time management Interest in energy analytics and trading Good communication skills Hours of work: 8.30am - 5.30pm / 40 hours per week, Monday to FridayOccasional on-call support on weekends, estimated interval of two months.We are committed to equipping our employees with the tools that will enable them to fulfil their job to the highest standard. To that end we offer a wide range of technical and personal development courses both in-house and through third-party providers."It is a fast-paced and dynamic working environment where each day is interesting and challenging. There's also an incredible pool of talent and skills within EDFT. I'm continuously learning from my colleagues. There is no 'typical' day. I work on a wide range of compensation, benefit and mobility projects throughout the year. One thing's for sure though, I'll have my head in a spreadsheet at some point."
Nov 21, 2025
Full time
Senior Quantitative Developer page is loaded Senior Quantitative Developerlocations: Londontime type: Full timeposted on: Posted 5 Days Agojob requisition id: JRWhen you join EDF Trading, you'll become part of a diverse international team of experts who challenge conventional ideas, test new approaches, and think outside the box.Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in power, gas, LNG, LPG, oil, and environmental products.EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it's experience that makes us leaders in the field. Energy is what we do.Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.Join us, make a difference, and help shape the future of energy.Job Description: Department Optimisation and Trading Analytical TeamThe Energy Market Analytics department houses the Optimisation and Trading Analytical Team, a dynamic group of 10 professionals based in both Paris and London.Our team's primary mission is to develop sophisticated market forecasting models and asset optimisation tools. These tools are instrumental in supporting EDF Trading's proprietary activities and optimising the EDF Group portfolio.The team efforts are directed towards both the short-term electricity markets as well as the longer-term horizon and other commodities. We work closely with the trading desks and other analyst teams in both locations, fostering a collaborative environment that drives our success. Position purpose The Senior Quantitative Developer will contribute to the analytics suite of EDFT for short-term power market analysis and price forecasting through work on our platform for analytics and underlying data and model infrastructure.We're looking for a strongly motivated individual with excellent technical skills and an interest in energy analytics and trading. Main responsibilities Improve the team's existing analytical platform by proposing and implementing solutions to enhance performance and applications stability (e.g., optimisation of memory usage, usage of cloud technologies, increase parallelisation, data modelling and migration), or creating dashboards and decision-making tools Collaborate with analysts to support the platform and participate in the design and deployment in production of new analytical features and models Work with traders to understand the project requirements and translate them into technical solutions to be implemented in the platform Work with the EDFT IT team to develop a scalable technology platform over the long term Experience and technical requirements 5+ years' experience in a similar role (software engineer or quantitative developer) with exposure to analytics.Essential skills Very strong object-oriented programming skills (demonstrated in Python or other) Experience with CI/CD pipelines, proficiency with Git SQL, NoSQL databases Knowledge of cloud computingBeneficial skills: Python, API frameworks (Flask, FastAPI), package managers (poetry, uv) Knowledge of more than one programming language Exposure to energy markets or trading environment Knowledge of front-end development (e.g., Streamlit/ Angular 10/ Node.js) Columnar databases Experience with cloud computing such as Azure suite Docker, Kubernetes Person specification Educated to degree level with a high computer science component Hands-on approach, flexible and positive attitude Attention to detail and strong focus on accuracy of information Prioritization and time management Interest in energy analytics and trading Good communication skills Hours of work: 8.30am - 5.30pm / 40 hours per week, Monday to FridayOccasional on-call support on weekends, estimated interval of two months.We are committed to equipping our employees with the tools that will enable them to fulfil their job to the highest standard. To that end we offer a wide range of technical and personal development courses both in-house and through third-party providers."It is a fast-paced and dynamic working environment where each day is interesting and challenging. There's also an incredible pool of talent and skills within EDFT. I'm continuously learning from my colleagues. There is no 'typical' day. I work on a wide range of compensation, benefit and mobility projects throughout the year. One thing's for sure though, I'll have my head in a spreadsheet at some point."
Associate Director- Litigation & Data Product Strategist
Moody's Investors Service
Role Overview As Director/Associate Director of Product Strategy for Litigation Tracking, you will lead the development of a comprehensive system for tracking casualty-relevant lawsuits. You'll also own the data strategy for enrichment, integration, and quality feedback loops across product domains, working closely with product management, Customer success, development and commercial teams to define value propositions, pricing strategies, and market positioning. This role combines legal data expertise with strategic product development. This role is ideal for someone who thrives on translating market insights into actionable product strategies and enjoys collaborating across functions to drive innovation and growth Responsibilities Develop and execute product strategy for litigation tracking across casualty and financial lines by identifying and prioritising customer problems using the jobs-to-be-done (JTBD) framework. Define solution features such as structured litigation data, GenAI-powered research assistant, and integration with pricing, reserving, and exposure management workflows, and translate litigation workflows into MVP requirements in collaboration with engineering, legal, and data teams. Support roadmap development for expansion of litigation tracking across jurisdictions and casualty lines, including mass litigation, systemic events, and idiosyncratic claims. Manage data enrichment strategy, including name matching, firmographic tagging, and integration with Orbis and IRP to support litigation analytics and downstream product use cases. Collaborate with engineering, modelling, and data estate teams to deliver scalable litigation tracking solutions that align with Moody's long-term growth goals. Engage directly with claims managers, underwriters, actuaries, and legal stakeholders to validate workflows, prototypes, and product-market fit. Lead customer validation efforts with claims managers, underwriters, actuaries, and legal stakeholders to validate workflows, prototypes, product-market fit and refine roadmap priorities. Support Proof of concepts as part of marketing testing Support build/buy/partner analysis to evaluate litigation data sourcing strategies and provide input into partnership decisions. Analyse market trends, regulatory developments, and competitive dynamics to inform product positioning and roadmap priorities. Prepare business cases and strategic plans for litigation-focused product initiatives, translating insights into actionable proposals for senior leadership. Support development of annual sales forecasts, performance tracking frameworks, and strategic KPIs to measure product success and guide investment decisions. Contribute to pricing and packaging strategies based on litigation tracking use cases, customer appetite, and data value. Support product education and sales enablement efforts through internal briefings, demos, global offsites, and GTM content to ensure cross-functional alignment. Monitor execution of litigation tracking product strategy across internal departments and ensure delivery against strategic objectives and governance frameworks. Qualifications Bachelor's degree in business, marketing, or related field; MBA preferred. 5+ years in legal analytics, insurance claims, or product strategy. Familiarity with JTBD frameworks and persona-based strategy development. Experience with litigation data, court dockets, and legal document processing. Understanding of casualty claims, reserving, and systemic litigation risks. Familiarity with GenAI applications and data enrichment workflows. Strong analytical skills, including experience with ROI modelling and market analysis. Excellent communication and collaboration skills across cross-functional teams. Experience in build/buy/partner evaluations and strategic planning processes. The Department The Casualty Product Strategy Team plays a pivotal role in shaping Moody's next-generation casualty insurance solutions. Working across underwriting, exposure management and modelling, and litigation tracking and data strategy, the team translates market strategy into actionable product plans that drive innovation, customer value, and commercial success. By defining customer problems, articulating value propositions, and coordinating high-level solution design, the team ensures Moody's offerings are aligned to client needs and market dynamics. The team partners closely with product management, engineering, modelling, and commercial stakeholders to deliver scalable solutions that support underwriting decision-making, portfolio analytics, and claims intelligence. This team is central to enabling the wider casualty organisation to meet its strategic objectives-accelerating roadmap delivery, informing pricing and packaging, supporting go-to-market execution, and driving adoption of Moody's Intelligent Risk Platform.
Nov 21, 2025
Full time
Role Overview As Director/Associate Director of Product Strategy for Litigation Tracking, you will lead the development of a comprehensive system for tracking casualty-relevant lawsuits. You'll also own the data strategy for enrichment, integration, and quality feedback loops across product domains, working closely with product management, Customer success, development and commercial teams to define value propositions, pricing strategies, and market positioning. This role combines legal data expertise with strategic product development. This role is ideal for someone who thrives on translating market insights into actionable product strategies and enjoys collaborating across functions to drive innovation and growth Responsibilities Develop and execute product strategy for litigation tracking across casualty and financial lines by identifying and prioritising customer problems using the jobs-to-be-done (JTBD) framework. Define solution features such as structured litigation data, GenAI-powered research assistant, and integration with pricing, reserving, and exposure management workflows, and translate litigation workflows into MVP requirements in collaboration with engineering, legal, and data teams. Support roadmap development for expansion of litigation tracking across jurisdictions and casualty lines, including mass litigation, systemic events, and idiosyncratic claims. Manage data enrichment strategy, including name matching, firmographic tagging, and integration with Orbis and IRP to support litigation analytics and downstream product use cases. Collaborate with engineering, modelling, and data estate teams to deliver scalable litigation tracking solutions that align with Moody's long-term growth goals. Engage directly with claims managers, underwriters, actuaries, and legal stakeholders to validate workflows, prototypes, and product-market fit. Lead customer validation efforts with claims managers, underwriters, actuaries, and legal stakeholders to validate workflows, prototypes, product-market fit and refine roadmap priorities. Support Proof of concepts as part of marketing testing Support build/buy/partner analysis to evaluate litigation data sourcing strategies and provide input into partnership decisions. Analyse market trends, regulatory developments, and competitive dynamics to inform product positioning and roadmap priorities. Prepare business cases and strategic plans for litigation-focused product initiatives, translating insights into actionable proposals for senior leadership. Support development of annual sales forecasts, performance tracking frameworks, and strategic KPIs to measure product success and guide investment decisions. Contribute to pricing and packaging strategies based on litigation tracking use cases, customer appetite, and data value. Support product education and sales enablement efforts through internal briefings, demos, global offsites, and GTM content to ensure cross-functional alignment. Monitor execution of litigation tracking product strategy across internal departments and ensure delivery against strategic objectives and governance frameworks. Qualifications Bachelor's degree in business, marketing, or related field; MBA preferred. 5+ years in legal analytics, insurance claims, or product strategy. Familiarity with JTBD frameworks and persona-based strategy development. Experience with litigation data, court dockets, and legal document processing. Understanding of casualty claims, reserving, and systemic litigation risks. Familiarity with GenAI applications and data enrichment workflows. Strong analytical skills, including experience with ROI modelling and market analysis. Excellent communication and collaboration skills across cross-functional teams. Experience in build/buy/partner evaluations and strategic planning processes. The Department The Casualty Product Strategy Team plays a pivotal role in shaping Moody's next-generation casualty insurance solutions. Working across underwriting, exposure management and modelling, and litigation tracking and data strategy, the team translates market strategy into actionable product plans that drive innovation, customer value, and commercial success. By defining customer problems, articulating value propositions, and coordinating high-level solution design, the team ensures Moody's offerings are aligned to client needs and market dynamics. The team partners closely with product management, engineering, modelling, and commercial stakeholders to deliver scalable solutions that support underwriting decision-making, portfolio analytics, and claims intelligence. This team is central to enabling the wider casualty organisation to meet its strategic objectives-accelerating roadmap delivery, informing pricing and packaging, supporting go-to-market execution, and driving adoption of Moody's Intelligent Risk Platform.
Senior Data Scientist (Machine Learning & Advanced Analytics)
QVC, Inc.
Senior Data Scientist (Machine Learning & Advanced Analytics) page is loaded Senior Data Scientist (Machine Learning & Advanced Analytics)locations: UK, West London, Chiswick: QVCtime type: Full timeposted on: Posted 2 Days Agojob requisition id: R79977Thank you for your interest in joining our team! QVC Group, Inc. is a Fortune 500 company with six leading retail brands - QVC, HSN, Ballard Designs, Frontgate, Garnet Hill and Grandin Road. We are a live social shopping company that redefines the shopping experience through video-driven commerce on every screen, from smartphones and tablets to laptops and TVs. QVC Group brings innovative products, compelling content, and unforgettable moments to millions of shoppers worldwide via social platforms, streaming apps, ecommerce sites and TV channels, making every screen a doorway to discovery, delight and community. The Opportunity Here at QVC UK we are on the search for a Senior Data Scientist to join our growing advanced analytics team, in Chiswick Park, London. Reporting to the VP Advanced Analytics, you will develop models, programming and data engineering. This job is a hybrid working role. Who We Are QVC empowers shoppers with knowledge and shares insights in a lively, engaging way. We offer an ever-changing collection of familiar brands and fresh new products - from home and fashion to beauty, electronics and jewellery - and we connect shoppers to interesting personalities, engaging stories and award-winning customer service.QVC International brings the QVC shopping experience to millions of people in Germany, Austria, Japan, the U.K., Ireland and Italy.QVC International reaches 124 million homes via 10 television networks and reaches millions more via multiple streaming services, websites, mobile apps and social pages. QVC International has team members in the U.K., Germany, Japan, Italy, Poland and China. Your Impact You will develop models, programming & data engineering You'll define new and advanced analysis techniques and approaches You will ensure the stability and quality of our models In cooperation with different internal partners, you will define our requirements and the relevant indicators of success. You will present results and advise the business on the usability of the results Within the introduction of new methods you will take on tasks in the area of change management In cooperation with our IT teams you define requirements for the technology stack You will optimise existing methods, technologies and tools and keep yourself informed about new trends in the market You will help train and onboard new colleagues, less experienced data scientists and engineers What You Bring You will have a Masters degree (PhD preferred) in Applied Mathematics, Physics, Statistics or another quantitative discipline You will have several years of professional experience in data engineering, especially with advanced SQL and big data pipeline skills You'll have over 3 years of experience in machine learning with frameworks (such as Scikit-Learn, Keras, TensorFlow, PyTorch, Mllib) Excellent knowledge of analytical techniques, especially in the field of machine learning and pattern recognition and optimization Experience using Big Data platforms (Spark, Hadoop) for large data volumes You will have knowledge of cloud technology stacks (AWS, GCP, Azure) and data visualization tools and applications (Tableau, Qlickview, PowerBI) You should have very good knowledge of at least one scripting language like Python (preferred) or R Knowledge of container platforms, e.g. dockers Business-oriented presentations of complex concepts for a business audience You will simplify workflows and communicate complex statistical concepts in a simple way Disability Confident Scheme QVC UK is a Disability Confident Leader, level 3 accredited employer and operates a Disability Confident Scheme ("DCS"). For any UK based roles, if you'd like to be considered under this scheme, please indicate this on the application form.Our Total Rewards package includes benefits you'll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits.QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at for assistance.If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions We are a live social shopping company that redefines the shopping experience through video-driven commerce on every screen, from smartphones and tablets to laptops and TVs. QVC Group brings innovative products, compelling content, and unforgettable moments to millions of shoppers worldwide via social platforms, streaming apps, ecommerce sites and TV channels, making every screenWe're an inspired and diverse team that comes together to combine shopping and entertainment for millions of highly discerning shoppers. It's a fun, fast-paced world, and what really sets us apart is our culture and talent experience. Best of all, working with QVC Group means friendly teams, ambitious projects and fast-moving careers!
Nov 21, 2025
Full time
Senior Data Scientist (Machine Learning & Advanced Analytics) page is loaded Senior Data Scientist (Machine Learning & Advanced Analytics)locations: UK, West London, Chiswick: QVCtime type: Full timeposted on: Posted 2 Days Agojob requisition id: R79977Thank you for your interest in joining our team! QVC Group, Inc. is a Fortune 500 company with six leading retail brands - QVC, HSN, Ballard Designs, Frontgate, Garnet Hill and Grandin Road. We are a live social shopping company that redefines the shopping experience through video-driven commerce on every screen, from smartphones and tablets to laptops and TVs. QVC Group brings innovative products, compelling content, and unforgettable moments to millions of shoppers worldwide via social platforms, streaming apps, ecommerce sites and TV channels, making every screen a doorway to discovery, delight and community. The Opportunity Here at QVC UK we are on the search for a Senior Data Scientist to join our growing advanced analytics team, in Chiswick Park, London. Reporting to the VP Advanced Analytics, you will develop models, programming and data engineering. This job is a hybrid working role. Who We Are QVC empowers shoppers with knowledge and shares insights in a lively, engaging way. We offer an ever-changing collection of familiar brands and fresh new products - from home and fashion to beauty, electronics and jewellery - and we connect shoppers to interesting personalities, engaging stories and award-winning customer service.QVC International brings the QVC shopping experience to millions of people in Germany, Austria, Japan, the U.K., Ireland and Italy.QVC International reaches 124 million homes via 10 television networks and reaches millions more via multiple streaming services, websites, mobile apps and social pages. QVC International has team members in the U.K., Germany, Japan, Italy, Poland and China. Your Impact You will develop models, programming & data engineering You'll define new and advanced analysis techniques and approaches You will ensure the stability and quality of our models In cooperation with different internal partners, you will define our requirements and the relevant indicators of success. You will present results and advise the business on the usability of the results Within the introduction of new methods you will take on tasks in the area of change management In cooperation with our IT teams you define requirements for the technology stack You will optimise existing methods, technologies and tools and keep yourself informed about new trends in the market You will help train and onboard new colleagues, less experienced data scientists and engineers What You Bring You will have a Masters degree (PhD preferred) in Applied Mathematics, Physics, Statistics or another quantitative discipline You will have several years of professional experience in data engineering, especially with advanced SQL and big data pipeline skills You'll have over 3 years of experience in machine learning with frameworks (such as Scikit-Learn, Keras, TensorFlow, PyTorch, Mllib) Excellent knowledge of analytical techniques, especially in the field of machine learning and pattern recognition and optimization Experience using Big Data platforms (Spark, Hadoop) for large data volumes You will have knowledge of cloud technology stacks (AWS, GCP, Azure) and data visualization tools and applications (Tableau, Qlickview, PowerBI) You should have very good knowledge of at least one scripting language like Python (preferred) or R Knowledge of container platforms, e.g. dockers Business-oriented presentations of complex concepts for a business audience You will simplify workflows and communicate complex statistical concepts in a simple way Disability Confident Scheme QVC UK is a Disability Confident Leader, level 3 accredited employer and operates a Disability Confident Scheme ("DCS"). For any UK based roles, if you'd like to be considered under this scheme, please indicate this on the application form.Our Total Rewards package includes benefits you'll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits.QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at for assistance.If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions We are a live social shopping company that redefines the shopping experience through video-driven commerce on every screen, from smartphones and tablets to laptops and TVs. QVC Group brings innovative products, compelling content, and unforgettable moments to millions of shoppers worldwide via social platforms, streaming apps, ecommerce sites and TV channels, making every screenWe're an inspired and diverse team that comes together to combine shopping and entertainment for millions of highly discerning shoppers. It's a fun, fast-paced world, and what really sets us apart is our culture and talent experience. Best of all, working with QVC Group means friendly teams, ambitious projects and fast-moving careers!
Delivery Solutions Architect (Data & AI, Project Delivery)
Databricks Inc.
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from 'win' to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: Extensive experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Nov 21, 2025
Full time
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from 'win' to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: Extensive experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Data Architect
Scopeworker
Qualifications Bachelor's or Master's degree in Computer Science, Mathematics or similar field (PhDs will be given preference) 7+ years of experience working with massive data Strong knowledge of public cloud (AWS) Experience with data acquisition (API calls/FTP downloads), ETL, transformation/normalization Proficiency in ETL process is mandatory Experienced building components for enterprise central data platforms (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries) Hands-on experience with SQL, Python, Spark, Kafka Excellent communication skills, including a good working proficiency in verbal and written English About this Job Scopeworker Business Intelligence real time processes enterprise customer data. We develop and maintain robust and reliable data pipelines to support 24x7 business operations and enable systems, tools, dashboards and data analysts to surface business insights and opportunities. This actionable business intelligence is provided in real time to our Fortune 100 users from data engineers, to analysts and C-Level stakeholders. As a Data Architect, you'll innovate, design, build and automate, scalable solutions, massive data sets and bring software engineering experience to the complex process of data processing and data pipeline development. You will lead big data challenges in an agile way and build data models to deliver insightful analytics while ensuring the highest standard of data integrity. About Scopeworker Scopeworker is an enterprise SaaS. It automates the Procure-Execute-Pay lifecycle of complex supplier services. This enables an 'Uber' style marketplace for enterprise and a live business intelligence that is truly unique. Scopeworker can be used as a standalone platform or as a digitalization layer over the top of Oracle, SAP or Microsoft Dynamics ERPs. Scopeworker is used by the Fortune 100. See also our explainer video.
Nov 21, 2025
Full time
Qualifications Bachelor's or Master's degree in Computer Science, Mathematics or similar field (PhDs will be given preference) 7+ years of experience working with massive data Strong knowledge of public cloud (AWS) Experience with data acquisition (API calls/FTP downloads), ETL, transformation/normalization Proficiency in ETL process is mandatory Experienced building components for enterprise central data platforms (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries) Hands-on experience with SQL, Python, Spark, Kafka Excellent communication skills, including a good working proficiency in verbal and written English About this Job Scopeworker Business Intelligence real time processes enterprise customer data. We develop and maintain robust and reliable data pipelines to support 24x7 business operations and enable systems, tools, dashboards and data analysts to surface business insights and opportunities. This actionable business intelligence is provided in real time to our Fortune 100 users from data engineers, to analysts and C-Level stakeholders. As a Data Architect, you'll innovate, design, build and automate, scalable solutions, massive data sets and bring software engineering experience to the complex process of data processing and data pipeline development. You will lead big data challenges in an agile way and build data models to deliver insightful analytics while ensuring the highest standard of data integrity. About Scopeworker Scopeworker is an enterprise SaaS. It automates the Procure-Execute-Pay lifecycle of complex supplier services. This enables an 'Uber' style marketplace for enterprise and a live business intelligence that is truly unique. Scopeworker can be used as a standalone platform or as a digitalization layer over the top of Oracle, SAP or Microsoft Dynamics ERPs. Scopeworker is used by the Fortune 100. See also our explainer video.
London Stock Exchange Group
Real-Time Technical Architect
London Stock Exchange Group
The successful candidate will be a key member of the Real Time Architecture team with responsibility for the technical architectural design and implementations within Real Time Core, Distribution and Managed Data Services on and off-prem global deployments. Key knowledge and understanding for the design, operation and limits of the current environment will be paramount to the successful evolution as part of a multi-year Programme into a next generation platform. OUR PEOPLE: People are at the heart of what we do and drive the success of our business. Our values of Integrity, Partnership, Excellence and Change shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 65 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. Role profile: The London Stock Exchange Group's Data and Analytics division provides high quality financial data to hundreds of thousands of customers around the world. The Real Time platform provides our customers with financial market data that is sourced from over 550 real time venues across the world. The platform's engineering function has responsibility for the development and growth of the technology solution that supports the platform, noting specific engineering challenges pertaining to its complexity, geographic distribution, and scale. The architecture team that supports this platform has responsibility for the high-level design, technology strategy and governance of this platform, and assures its reliability, scalability, extensibility, and sustainability. The responsibilities of a Real-Time architect within the team are summarised below. ROLE SUMMARY: Define and deliver our technology strategy to meet our customers' requirements. High level design and definition of a global technology platform that must hit well defined SLA's and targets to assure resiliency and low latency delivery of real time market data collaborate with business and product teams to translate high-level requirements into an executable design. Communicate effectively and professionally with internal customers, management and peers across the globe. Develop a broad knowledge of LSEG business strategies and our product portfolio. Innovate on new and improved uses of technology to meet business objectives. Understand the impact of new technologies and their technical impacts to supported systems. Collaborate with peers, architects and managers to understand strategy and how best to operationalize it across our cloud and on-prem environments. Knowledge of Multicast data traffic management, arbitration and message queueing Real Time Distribution Systems (RTDS) Operational knowledge for DACS, ADH & ADS components WHAT YOU'LL BE DOING: Responsible for the key areas in the global design standards, governance, buildout & automation for Real-Time Managed Distribution Services (RTMDS) public Cloud deployment by delivering Full Tick to these public cloud environments, systems integration, corporate and custom monitoring, asset and automation systems, etc Work closely with key partners in the Real Time Architecture team Responsible for feature rollout for Testing as a Service public Cloud deployments Provide support for our internal Real Time Traffic Management System (TMS) as and when required Provide project implementation support during business and occasionally off business hours Create and update design and associated technical reference documentation Provide recommendations to the manager of the Architecture team to define / refine practices to meet team's objectives Train/Coach/mentor others in the Architecture team or partners WHAT YOU'LL BRING: Experience of designing large scale compute infrastructure-based applications Exchange feed connectivity Networking technologies, especially IP Multicast, IGMPv3, PIM/SSM WAN, LAN, SDN, DNS, TCP/IP Cloud native, cloud enabling and cloud adjacent technologies, including large-scale Kubernetes architecture and design, SR-IOV, eBPF, containerisation, container network interfaces. Large scale, highly distributed application design. How to optimize NIC, OS, BIOS and applications for low latency. Compute infrastructure especially HPE Proliant, HPE Synergy, Dell PowerEdge STEM degree or equivalent qualification Network vendor qualification such as CCNA Cloud vendor qualifications such as AWS or Azure Certified Solutions Architect. WHAT YOU'LL GET IN RETURN: This is a fantastic opportunity to be a very key player in a multi-year program to deliver the next generation of Market Data platform for LSEG customers globally, both internal and externally, working with various team members and vendors to ensure our deliveries are achieved or exceeded. LSEG prides itself on meeting delivery expectations and by doing so means you will gain the respect and reward, as well as great personal achievement and development within a leading organization. In order to be flexible and realizing the requirements to work with diverse teams, this role is offered as Digital First to allow you to make best use of your time. LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 65 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG.Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will
Nov 21, 2025
Full time
The successful candidate will be a key member of the Real Time Architecture team with responsibility for the technical architectural design and implementations within Real Time Core, Distribution and Managed Data Services on and off-prem global deployments. Key knowledge and understanding for the design, operation and limits of the current environment will be paramount to the successful evolution as part of a multi-year Programme into a next generation platform. OUR PEOPLE: People are at the heart of what we do and drive the success of our business. Our values of Integrity, Partnership, Excellence and Change shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 65 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. Role profile: The London Stock Exchange Group's Data and Analytics division provides high quality financial data to hundreds of thousands of customers around the world. The Real Time platform provides our customers with financial market data that is sourced from over 550 real time venues across the world. The platform's engineering function has responsibility for the development and growth of the technology solution that supports the platform, noting specific engineering challenges pertaining to its complexity, geographic distribution, and scale. The architecture team that supports this platform has responsibility for the high-level design, technology strategy and governance of this platform, and assures its reliability, scalability, extensibility, and sustainability. The responsibilities of a Real-Time architect within the team are summarised below. ROLE SUMMARY: Define and deliver our technology strategy to meet our customers' requirements. High level design and definition of a global technology platform that must hit well defined SLA's and targets to assure resiliency and low latency delivery of real time market data collaborate with business and product teams to translate high-level requirements into an executable design. Communicate effectively and professionally with internal customers, management and peers across the globe. Develop a broad knowledge of LSEG business strategies and our product portfolio. Innovate on new and improved uses of technology to meet business objectives. Understand the impact of new technologies and their technical impacts to supported systems. Collaborate with peers, architects and managers to understand strategy and how best to operationalize it across our cloud and on-prem environments. Knowledge of Multicast data traffic management, arbitration and message queueing Real Time Distribution Systems (RTDS) Operational knowledge for DACS, ADH & ADS components WHAT YOU'LL BE DOING: Responsible for the key areas in the global design standards, governance, buildout & automation for Real-Time Managed Distribution Services (RTMDS) public Cloud deployment by delivering Full Tick to these public cloud environments, systems integration, corporate and custom monitoring, asset and automation systems, etc Work closely with key partners in the Real Time Architecture team Responsible for feature rollout for Testing as a Service public Cloud deployments Provide support for our internal Real Time Traffic Management System (TMS) as and when required Provide project implementation support during business and occasionally off business hours Create and update design and associated technical reference documentation Provide recommendations to the manager of the Architecture team to define / refine practices to meet team's objectives Train/Coach/mentor others in the Architecture team or partners WHAT YOU'LL BRING: Experience of designing large scale compute infrastructure-based applications Exchange feed connectivity Networking technologies, especially IP Multicast, IGMPv3, PIM/SSM WAN, LAN, SDN, DNS, TCP/IP Cloud native, cloud enabling and cloud adjacent technologies, including large-scale Kubernetes architecture and design, SR-IOV, eBPF, containerisation, container network interfaces. Large scale, highly distributed application design. How to optimize NIC, OS, BIOS and applications for low latency. Compute infrastructure especially HPE Proliant, HPE Synergy, Dell PowerEdge STEM degree or equivalent qualification Network vendor qualification such as CCNA Cloud vendor qualifications such as AWS or Azure Certified Solutions Architect. WHAT YOU'LL GET IN RETURN: This is a fantastic opportunity to be a very key player in a multi-year program to deliver the next generation of Market Data platform for LSEG customers globally, both internal and externally, working with various team members and vendors to ensure our deliveries are achieved or exceeded. LSEG prides itself on meeting delivery expectations and by doing so means you will gain the respect and reward, as well as great personal achievement and development within a leading organization. In order to be flexible and realizing the requirements to work with diverse teams, this role is offered as Digital First to allow you to make best use of your time. LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 65 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG.Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will
BLOOMBERG
Senior Software Engineer - Enterprise Products Data Acquisition
BLOOMBERG
Senior Software Engineer - Enterprise Products Data Acquisition Location London Business Area Engineering and CTO Ref # Description & Requirements The Enterprise Product Platform (EPP) builds the technology foundation that unifies workflows, data, and capabilities across Bloomberg's enterprise products. Within EPP, the Data Acquisition group provides the core data platform that connects enterprise applications to trusted, consistent datasets used for analytics, trading, and reporting. The group is building a next-generation acquisition platform that delivers a unified data experience across Bloomberg's enterprise ecosystem. This platform provides standardized interfaces, consistent data definitions, and a metadata-driven data dictionary that enhances transparency and interoperability. By creating a common framework for acquiring, defining, and distributing data, EPP Data Acquisition enables enterprise products to seamlessly access high-quality data at scale. As a Senior Software Engineer on the Data Acquisition team, you will design and build core services that define and deliver Bloomberg's enterprise data model. You will develop APIs and platform components, work on scalable infrastructure, and collaborate closely with product and engineering partners across the firm. Your work will directly impact how Bloomberg's enterprise products deliver consistent, reliable, and transparent analytics to clients around the world. What's in it for you? Design and build the new data acquisition platform, including the new data dictionary system Help unify fragmented acquisition systems into a single, scalable platform Collaborate with engineers and product teams across Bloomberg to drive adoption Improve data transparency and discoverability through metadata-driven APIs You'll need to have: 4+ years of experience in C++ or Python, with a focus on building scalable, high-performance systems Experience with distributed systems, data platforms, or API-driven architectures Commitment to building robust, transparent, and well-tested software Proven collaboration skills and the ability to work across multiple teams Excellent problem-solving and communication skills We'd love to see: A passion for solving interoperability and data transparency challenges A strong sense of ownership and drive to deliver effective solutions Interest in financial markets and how enterprise data powers client workflows Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success. How can engineers further their growth and development? Transcript Aside from all of the work and all of the coding and learning that you're gonna be doing in your regular job, we have an entire department called Bloomberg University, and it has curriculars to learn about everything that you're interested on, new technologies, even old technologies that you might not be exposed to. Bloomberg University encourages, and really allow us engineers to keep up to date and keep learning aside from our day job, which you'd gonna be learning there already a lot. Aside from all of the work and all of the coding and learning that you're
Nov 21, 2025
Full time
Senior Software Engineer - Enterprise Products Data Acquisition Location London Business Area Engineering and CTO Ref # Description & Requirements The Enterprise Product Platform (EPP) builds the technology foundation that unifies workflows, data, and capabilities across Bloomberg's enterprise products. Within EPP, the Data Acquisition group provides the core data platform that connects enterprise applications to trusted, consistent datasets used for analytics, trading, and reporting. The group is building a next-generation acquisition platform that delivers a unified data experience across Bloomberg's enterprise ecosystem. This platform provides standardized interfaces, consistent data definitions, and a metadata-driven data dictionary that enhances transparency and interoperability. By creating a common framework for acquiring, defining, and distributing data, EPP Data Acquisition enables enterprise products to seamlessly access high-quality data at scale. As a Senior Software Engineer on the Data Acquisition team, you will design and build core services that define and deliver Bloomberg's enterprise data model. You will develop APIs and platform components, work on scalable infrastructure, and collaborate closely with product and engineering partners across the firm. Your work will directly impact how Bloomberg's enterprise products deliver consistent, reliable, and transparent analytics to clients around the world. What's in it for you? Design and build the new data acquisition platform, including the new data dictionary system Help unify fragmented acquisition systems into a single, scalable platform Collaborate with engineers and product teams across Bloomberg to drive adoption Improve data transparency and discoverability through metadata-driven APIs You'll need to have: 4+ years of experience in C++ or Python, with a focus on building scalable, high-performance systems Experience with distributed systems, data platforms, or API-driven architectures Commitment to building robust, transparent, and well-tested software Proven collaboration skills and the ability to work across multiple teams Excellent problem-solving and communication skills We'd love to see: A passion for solving interoperability and data transparency challenges A strong sense of ownership and drive to deliver effective solutions Interest in financial markets and how enterprise data powers client workflows Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success. How can engineers further their growth and development? Transcript Aside from all of the work and all of the coding and learning that you're gonna be doing in your regular job, we have an entire department called Bloomberg University, and it has curriculars to learn about everything that you're interested on, new technologies, even old technologies that you might not be exposed to. Bloomberg University encourages, and really allow us engineers to keep up to date and keep learning aside from our day job, which you'd gonna be learning there already a lot. Aside from all of the work and all of the coding and learning that you're
Data Architect
Infosys Consulting
Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About your role The ideal candidate will have extensive experience in designing and implementing data architectures, with a strong understanding of database management, data modelling, and data governance. This role requires a strategic thinker with strong analytical and problem-solving skills and the ability to work collaboratively with clients and cross-functional teams. You Have a broad business skill set including stakeholder management, problem-solving, and resilience Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences, particularly audiences that are not technical. Are willing to travel forproject-related work. Design and implement robust scalable, secure, optimised data solutions that support business requirements and strategic goals. Evaluate the client's existing data estate, can diagnose underlying issues, and propose potential solutions. Collaborate with clients to understand their data needs and provide expert advice on data management and architecture. Develop data models, data flow diagrams, and data dictionaries. Oversee the ingestion and integration of data from multiple sources into enterprise data platforms. Conduct data quality assessments and implement data governance processes and best practices. Stay updated with the latest trends and technologies in data architecture and management. Provide technical guidance and mentorship to data engineers and other team members. Identify and mitigate data-related risks throughout the project lifecycle. Qualifications Proven experience as a Data Architect, with 10+ years of experience in data architecture, database management and data modelling. Strong knowledge of software development methodologies, tools, and frameworks, particularly Agile. Proficiency in both SQL and NOSQL database management systems (e.g. SQL Server/Oracle/MongoDB, CosmosDB, Snowflake, Databricks). Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques. Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow Good knowledge of stream and batch processing solutions like Apache Flink, Apache Kafka Good knowledge of log management, monitoring, and analytics solutions like Splunk, Elastic Stack, New Relic Note: The following line contains removed formatting for safety. Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now. About your team Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you'll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Management & Governance, Data Integration & engineering, Analytics & Data science. About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page . Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Apply today!
Nov 21, 2025
Full time
Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About your role The ideal candidate will have extensive experience in designing and implementing data architectures, with a strong understanding of database management, data modelling, and data governance. This role requires a strategic thinker with strong analytical and problem-solving skills and the ability to work collaboratively with clients and cross-functional teams. You Have a broad business skill set including stakeholder management, problem-solving, and resilience Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences, particularly audiences that are not technical. Are willing to travel forproject-related work. Design and implement robust scalable, secure, optimised data solutions that support business requirements and strategic goals. Evaluate the client's existing data estate, can diagnose underlying issues, and propose potential solutions. Collaborate with clients to understand their data needs and provide expert advice on data management and architecture. Develop data models, data flow diagrams, and data dictionaries. Oversee the ingestion and integration of data from multiple sources into enterprise data platforms. Conduct data quality assessments and implement data governance processes and best practices. Stay updated with the latest trends and technologies in data architecture and management. Provide technical guidance and mentorship to data engineers and other team members. Identify and mitigate data-related risks throughout the project lifecycle. Qualifications Proven experience as a Data Architect, with 10+ years of experience in data architecture, database management and data modelling. Strong knowledge of software development methodologies, tools, and frameworks, particularly Agile. Proficiency in both SQL and NOSQL database management systems (e.g. SQL Server/Oracle/MongoDB, CosmosDB, Snowflake, Databricks). Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques. Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow Good knowledge of stream and batch processing solutions like Apache Flink, Apache Kafka Good knowledge of log management, monitoring, and analytics solutions like Splunk, Elastic Stack, New Relic Note: The following line contains removed formatting for safety. Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now. About your team Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you'll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Management & Governance, Data Integration & engineering, Analytics & Data science. About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page . Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Apply today!

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