About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Science at Trainline Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded in cross-functional teams across Product and Marketing, empowered with a high degree of autonomy to drive outcomes using all data and techniques at their disposal. As the Head of Data Science, you will lead a team of high-performing Data Science Managers and play a pivotal role in shaping a large cross-functional organisation spanning Product, Engineering, Marketing and Data. You will be a key decision-maker, helping define and deliver a product experience that provides the right inventory, enables a seamless purchase journey, and drives forward our future ticketing opportunities. Doing this well requires deeply understanding our users, identifying their Jobs-to-Be-Done, evaluating whether we are successfully meeting their needs, and accelerating the pace of product discovery and iteration. Your team will influence strategic product thinking, strengthen experimentation and measurement practices, and shape how AI and data power our product experience. In this role, your leadership spans two complementary dimensions: Functional leadership, setting the bar for excellence in Data Science & Analytics. Strategic business partnership, working closely with Product, Engineering, Commercial and Marketing to define long-term direction and deliver impactful outcomes. As a Head of Data Science at Trainline, you will Lead & Develop a High-Performing Data Science Organisation Lead an org of 3 Data Science Managers and their respective teams. Build a culture focused on experimentation, learning, and measurable business impact. Ensure Data Science & Analytics talent is embedded effectively into cross-functional squads and operating at a high bar. Shape Strategy Through Data Act as a co-leader of a large cross functional strategic area of 150 people, defining long-term vision and strategy. Provide data-driven frameworks to structure product thinking - user classifications, Jobs-to-Be-Done, north star metrics, success criteria, and evaluation methods. Influence prioritisation and roadmap decisions by grounding strategic choices in evidence and insight. Advance Experimentation, Measurement & Goaling Champion and mature experimentation practices across teams. Develop clear goaling methodologies enabling rapid iteration and learning. Ensure robust evaluation of product changes, including holdouts and causal inference methods. Elevate Data, AI & Infrastructure Capabilities Work with our ML Engineering counterparts to help shape our wider AI/ML strategy. Influence Data Engineering, BI and Platform priorities to improve data maturity, quality and tooling. Ensure foundational datasets and metrics are trusted, consistent and scalable. Drive High-Impact Outcomes & Senior Communication Hold the organisation to a high bar for analytical rigour and business impact. Communicate insights, strategy, and progress to senior leadership. Drive alignment and influence decision-making across the company. We'd love to hear from you if you have Experience leading data-driven teams in the product space within tech organisations. Proven experience managing Data Science Managers or Data Scientists & Analysts. Demonstrated driving growth and influencing strategy in online products. Experience setting strategic direction, thinking big, and executing effectively. Ability to distil complex analysis into clear, actionable communication for all levels. Strong experience guiding experimentation and test-and-learn cultures. Ability to navigate ambiguous datasets and translate them into insights. Strong stakeholder management and cross-functional leadership experience. Strong data visualisation and communication skills. Knowledge of statistical and causal inference methods. Tech stack: SQL, Python, dbt, Tableau, Trino, AWS Athena + more. More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Mar 03, 2026
Full time
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Science at Trainline Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded in cross-functional teams across Product and Marketing, empowered with a high degree of autonomy to drive outcomes using all data and techniques at their disposal. As the Head of Data Science, you will lead a team of high-performing Data Science Managers and play a pivotal role in shaping a large cross-functional organisation spanning Product, Engineering, Marketing and Data. You will be a key decision-maker, helping define and deliver a product experience that provides the right inventory, enables a seamless purchase journey, and drives forward our future ticketing opportunities. Doing this well requires deeply understanding our users, identifying their Jobs-to-Be-Done, evaluating whether we are successfully meeting their needs, and accelerating the pace of product discovery and iteration. Your team will influence strategic product thinking, strengthen experimentation and measurement practices, and shape how AI and data power our product experience. In this role, your leadership spans two complementary dimensions: Functional leadership, setting the bar for excellence in Data Science & Analytics. Strategic business partnership, working closely with Product, Engineering, Commercial and Marketing to define long-term direction and deliver impactful outcomes. As a Head of Data Science at Trainline, you will Lead & Develop a High-Performing Data Science Organisation Lead an org of 3 Data Science Managers and their respective teams. Build a culture focused on experimentation, learning, and measurable business impact. Ensure Data Science & Analytics talent is embedded effectively into cross-functional squads and operating at a high bar. Shape Strategy Through Data Act as a co-leader of a large cross functional strategic area of 150 people, defining long-term vision and strategy. Provide data-driven frameworks to structure product thinking - user classifications, Jobs-to-Be-Done, north star metrics, success criteria, and evaluation methods. Influence prioritisation and roadmap decisions by grounding strategic choices in evidence and insight. Advance Experimentation, Measurement & Goaling Champion and mature experimentation practices across teams. Develop clear goaling methodologies enabling rapid iteration and learning. Ensure robust evaluation of product changes, including holdouts and causal inference methods. Elevate Data, AI & Infrastructure Capabilities Work with our ML Engineering counterparts to help shape our wider AI/ML strategy. Influence Data Engineering, BI and Platform priorities to improve data maturity, quality and tooling. Ensure foundational datasets and metrics are trusted, consistent and scalable. Drive High-Impact Outcomes & Senior Communication Hold the organisation to a high bar for analytical rigour and business impact. Communicate insights, strategy, and progress to senior leadership. Drive alignment and influence decision-making across the company. We'd love to hear from you if you have Experience leading data-driven teams in the product space within tech organisations. Proven experience managing Data Science Managers or Data Scientists & Analysts. Demonstrated driving growth and influencing strategy in online products. Experience setting strategic direction, thinking big, and executing effectively. Ability to distil complex analysis into clear, actionable communication for all levels. Strong experience guiding experimentation and test-and-learn cultures. Ability to navigate ambiguous datasets and translate them into insights. Strong stakeholder management and cross-functional leadership experience. Strong data visualisation and communication skills. Knowledge of statistical and causal inference methods. Tech stack: SQL, Python, dbt, Tableau, Trino, AWS Athena + more. More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
What to Expect As Raylo continues to scale its category defining tech subscription platform, we're building a high performing Strategy & Analytics team to power smarter, faster decision making across the business. This new Strategy and Analytics Manager role will sit within the Approval Rate team, focused on optimising how we approve customers and grow sustainably, across both consumer and business products. You'll be joining a curious, fast moving and collaborative group of strategists and analysts, working at the intersection of product, risk, data, and commercial teams. This role will offer direct ownership of initiatives with meaningful impact on revenue and unit economics, especially as we scale into new markets and build out new decisioning infrastructure. This is an opportunity to work on technically interesting, analytically complex, and commercially important challenges, with the potential to grow into a senior strategic leader in the business over time. What You'll Do Own strategic initiatives to improve approval rate outcomes across Raylo's lending and leasing products. Use SQL and analytics to investigate drivers of performance and deliver insight led change. Collaborate cross functionally with Product, Growth, Risk, and Operations teams to shape and implement better decisioning. Drive improvements in data quality, insight generation, and scalable tracking systems. Help shape the roadmap for risk, decisioning, and fraud strategy, including new internal and external data sources. Partner with engineering teams on technical design and implementation of decisioning logic. Lead innovation in how we monitor and manage approval performance, risk, and automation. Influence how Raylo makes key commercial decisions through thoughtful, well structured analysis. You'll Succeed With 3+ years of experience in a strategy, analytics, credit risk, or product data role, ideally in a high growth, data rich business. A 2:1 or higher from a top university, preferably in a STEM or quantitative discipline. Strong SQL proficiency, capable of writing complex queries and using them to independently generate insights. Experience with Python and/or modern analytics stacks (e.g. data warehouses, dashboards, monitoring tools) is a plus. Proven ability to use data to drive end to end commercial outcomes. Experience building scalable systems or frameworks to solve analytical or decisioning problems. A structured thinker with a strategic mindset and a bias for action. Excellent communication skills, confident working with both technical and non technical stakeholders. Passion for innovation, experimentation, and tackling ambiguous problems. Comfortable working in a fast paced, scaling environment with shifting priorities. Why We Exist At Raylo, we're on a mission to accelerate the move to a circular economy. The only way customers and manufacturers will make that shift is if it's simple and cost effective - this is where we come in. We're building a category defining global subscription infrastructure, making premium tech accessible and affordable for both consumers and businesses. With over 180,000 subscribers in the UK and growth accelerating - we've proven the demand for a smarter, more sustainable way to access technology. Raylo is a fast growing and profitable company, backed by global investors including Macquarie, NatWest, and Channel 4 Ventures. We are proud to have been selected for Endeavor's network in 2024, underscoring our role as a high impact, mission driven business with global ambitions. And in 2025 we were recognised as part of Tech Nation's UK's Future Fifty programme. We have been B Corp certified since 2021 and were recently acknowledged by S&P Global for the positive impact of our circular business model via a Green Financing with NatWest. At Raylo, performance matters. We set ambitious goals, move fast, and hold ourselves to a high standard, because our mission is too important to settle for less. Our Core Values Be deeply curious - We thrive on innovation through diverse approaches, views, and people. Walk in your customer's shoes - To build the best products and make the best decisions for the long term, we must figure out what our customers need, not just what they want. Focus and execute - We have a big vision, but we believe in nailing the most important problems first. Be gritty - Only gritty teams succeed. Our individual ownership, passion, and perseverance mean we're a team through thick and thin. Opportunities & Benefits We are continuously improving and listening to our quarterly employee surveys to provide the best opportunities and benefits for our employees. Share in Raylo's success - Stock options for all employees Get the latest tech - Exclusive Raylo device lease for employees Hybrid working model - that balances flexibility with in person collaboration, empowering you to do your best work while staying connected with the team 33 days off, your way - 25 days + 8 bank holidays with full flexibility to use on the days that mean the most to you Invest in your growth - L&D budget to support the skills you value Fast track your career - Two performance reviews a year Family first policies - Enhanced maternity, paternity, adoption or shared parental leave, if you've been with us for 12 months Save big on childcare - Workplace nursery scheme for major cost savings Perks on perks - Perkbox membership with discounts & wellbeing benefits Good times, guaranteed - Optional quarterly socials, plus summer & Christmas parties Hiring Process What's next? Once you submit your application, our Talent Team will contact you if you have been shortlisted for the role. We set an exceptionally high bar at Raylo, and in return, we will aim to give you the best candidate experience possible. If there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason, please let us know. Stage 1: Talent Screening Stage 2: Hiring Manager Interview Stage 3: Task Stage: SQL Test Stage 4: On site Interviews Stage 5: Values based Interview & Co founder Final As an FCA-regulated business, we conduct background checks (DBS and AML) on all successful candidates who are offered a position at Raylo during the onboarding process. Diversity & Inclusion at Raylo At Raylo, we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives, believing they make us stronger.
Feb 27, 2026
Full time
What to Expect As Raylo continues to scale its category defining tech subscription platform, we're building a high performing Strategy & Analytics team to power smarter, faster decision making across the business. This new Strategy and Analytics Manager role will sit within the Approval Rate team, focused on optimising how we approve customers and grow sustainably, across both consumer and business products. You'll be joining a curious, fast moving and collaborative group of strategists and analysts, working at the intersection of product, risk, data, and commercial teams. This role will offer direct ownership of initiatives with meaningful impact on revenue and unit economics, especially as we scale into new markets and build out new decisioning infrastructure. This is an opportunity to work on technically interesting, analytically complex, and commercially important challenges, with the potential to grow into a senior strategic leader in the business over time. What You'll Do Own strategic initiatives to improve approval rate outcomes across Raylo's lending and leasing products. Use SQL and analytics to investigate drivers of performance and deliver insight led change. Collaborate cross functionally with Product, Growth, Risk, and Operations teams to shape and implement better decisioning. Drive improvements in data quality, insight generation, and scalable tracking systems. Help shape the roadmap for risk, decisioning, and fraud strategy, including new internal and external data sources. Partner with engineering teams on technical design and implementation of decisioning logic. Lead innovation in how we monitor and manage approval performance, risk, and automation. Influence how Raylo makes key commercial decisions through thoughtful, well structured analysis. You'll Succeed With 3+ years of experience in a strategy, analytics, credit risk, or product data role, ideally in a high growth, data rich business. A 2:1 or higher from a top university, preferably in a STEM or quantitative discipline. Strong SQL proficiency, capable of writing complex queries and using them to independently generate insights. Experience with Python and/or modern analytics stacks (e.g. data warehouses, dashboards, monitoring tools) is a plus. Proven ability to use data to drive end to end commercial outcomes. Experience building scalable systems or frameworks to solve analytical or decisioning problems. A structured thinker with a strategic mindset and a bias for action. Excellent communication skills, confident working with both technical and non technical stakeholders. Passion for innovation, experimentation, and tackling ambiguous problems. Comfortable working in a fast paced, scaling environment with shifting priorities. Why We Exist At Raylo, we're on a mission to accelerate the move to a circular economy. The only way customers and manufacturers will make that shift is if it's simple and cost effective - this is where we come in. We're building a category defining global subscription infrastructure, making premium tech accessible and affordable for both consumers and businesses. With over 180,000 subscribers in the UK and growth accelerating - we've proven the demand for a smarter, more sustainable way to access technology. Raylo is a fast growing and profitable company, backed by global investors including Macquarie, NatWest, and Channel 4 Ventures. We are proud to have been selected for Endeavor's network in 2024, underscoring our role as a high impact, mission driven business with global ambitions. And in 2025 we were recognised as part of Tech Nation's UK's Future Fifty programme. We have been B Corp certified since 2021 and were recently acknowledged by S&P Global for the positive impact of our circular business model via a Green Financing with NatWest. At Raylo, performance matters. We set ambitious goals, move fast, and hold ourselves to a high standard, because our mission is too important to settle for less. Our Core Values Be deeply curious - We thrive on innovation through diverse approaches, views, and people. Walk in your customer's shoes - To build the best products and make the best decisions for the long term, we must figure out what our customers need, not just what they want. Focus and execute - We have a big vision, but we believe in nailing the most important problems first. Be gritty - Only gritty teams succeed. Our individual ownership, passion, and perseverance mean we're a team through thick and thin. Opportunities & Benefits We are continuously improving and listening to our quarterly employee surveys to provide the best opportunities and benefits for our employees. Share in Raylo's success - Stock options for all employees Get the latest tech - Exclusive Raylo device lease for employees Hybrid working model - that balances flexibility with in person collaboration, empowering you to do your best work while staying connected with the team 33 days off, your way - 25 days + 8 bank holidays with full flexibility to use on the days that mean the most to you Invest in your growth - L&D budget to support the skills you value Fast track your career - Two performance reviews a year Family first policies - Enhanced maternity, paternity, adoption or shared parental leave, if you've been with us for 12 months Save big on childcare - Workplace nursery scheme for major cost savings Perks on perks - Perkbox membership with discounts & wellbeing benefits Good times, guaranteed - Optional quarterly socials, plus summer & Christmas parties Hiring Process What's next? Once you submit your application, our Talent Team will contact you if you have been shortlisted for the role. We set an exceptionally high bar at Raylo, and in return, we will aim to give you the best candidate experience possible. If there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason, please let us know. Stage 1: Talent Screening Stage 2: Hiring Manager Interview Stage 3: Task Stage: SQL Test Stage 4: On site Interviews Stage 5: Values based Interview & Co founder Final As an FCA-regulated business, we conduct background checks (DBS and AML) on all successful candidates who are offered a position at Raylo during the onboarding process. Diversity & Inclusion at Raylo At Raylo, we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives, believing they make us stronger.
Location: Cheltenham Salary: Competitive Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client: We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission critical solutions. Operating at the forefront of data, cloud, and AI driven innovation, they offer an environment where engineers can work on complex, high impact challenges with real world significance. The Candidate: This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role: We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full lifecycle from development through to deployment and ongoing optimisation. This is a hands on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms. Contribute across the full software development lifecycle. Support cloud migration and data management initiatives. Develop, test and deploy new platform capabilities. Troubleshoot and enhance existing analytics services. Provide hands on support to Data Scientists and MLOps teams. Tackle complex engineering challenges across a varied tech stack. Requirements: Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer permenent job, please click the button below and submit your latest CV. Curo Services endeavour to respond to all applications. However, this may not always be possible during periods of high volume. Thank you for your patience. Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Feb 27, 2026
Full time
Location: Cheltenham Salary: Competitive Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client: We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission critical solutions. Operating at the forefront of data, cloud, and AI driven innovation, they offer an environment where engineers can work on complex, high impact challenges with real world significance. The Candidate: This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role: We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full lifecycle from development through to deployment and ongoing optimisation. This is a hands on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms. Contribute across the full software development lifecycle. Support cloud migration and data management initiatives. Develop, test and deploy new platform capabilities. Troubleshoot and enhance existing analytics services. Provide hands on support to Data Scientists and MLOps teams. Tackle complex engineering challenges across a varied tech stack. Requirements: Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer permenent job, please click the button below and submit your latest CV. Curo Services endeavour to respond to all applications. However, this may not always be possible during periods of high volume. Thank you for your patience. Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Salary:£40k - £80k Methods Analytics (MA) is recruiting for a Data Engineer to join our team permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines Build highly scalable and performant data solutions leveraging cloud platforms and open-source software Develop data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our data engineering capabilities Collaborate with stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non-technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Elevate the technical capabilities of the entire data engineering team Help cultivate a data-driven culture within the organisation Establish technical standards and patterns that ensure quality and maintainability You Will Demonstrate: Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Experience mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a technical leadership capacity You may also have some of the desirable skills and experience: Experience designing and implementing data mesh or data fabric architectures Knowledge of cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Understanding of data lineage and metadata management Experience with technical project management Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent innovations in AI/ML and GenAI Defence/Public Sector consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organization Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included) Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes
Feb 27, 2026
Full time
Salary:£40k - £80k Methods Analytics (MA) is recruiting for a Data Engineer to join our team permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines Build highly scalable and performant data solutions leveraging cloud platforms and open-source software Develop data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our data engineering capabilities Collaborate with stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non-technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Elevate the technical capabilities of the entire data engineering team Help cultivate a data-driven culture within the organisation Establish technical standards and patterns that ensure quality and maintainability You Will Demonstrate: Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Experience mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a technical leadership capacity You may also have some of the desirable skills and experience: Experience designing and implementing data mesh or data fabric architectures Knowledge of cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Understanding of data lineage and metadata management Experience with technical project management Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent innovations in AI/ML and GenAI Defence/Public Sector consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organization Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included) Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes
About Contentsquare Contentsquare is the all in one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers' whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We're here to stay-and we're looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler-for our customers, their customers, and each other. Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog. Role Overview 1. This is a software engineering role. We are looking for applicants with minimum 5 years of software engineering experience, with a particular background in TypeScript. While we are building software on top of LLMs, this is not a machine learning role. 2. This role is remote (France, Spain, Italy, Poland, Germany) but can also be office based (hybrid) in Barcelona, Paris, Milan, Munich or Cairo. We're looking for a Senior Fullstack Engineer (Applied AI) to join one of several exciting product initiatives currently in progress that leverage the latest in AI, particularly using Large Language Models (LLMs). One example project is extending our AI CoPilot product (currently only available in Heap) to more surfaces, allowing users without expertise in product or digital experience analytics to answer their questions simply by asking them. We are moving rapidly to leverage LLMs to reduce time to insight, make setup easier, and much more. As our next Senior Software Engineer (Applied AI), you will be focused on product development, with a side of early product iteration. For example, we expect engineers to participate in user interviews as we validate product hypotheses. This is an exciting opportunity to work in a "startup within the startup." We move quickly from idea to proof of concept to interview to product, ensuring that what we build provides actual value to our customers. As LLMs and the related technologies are growing and changing rapidly, we are enthusiastic about new ideas and libraries but discerning - what we build is foundational. We're a distributed team that operates across the US and Europe. We're open to hiring the right person anywhere within the US East Coast time zone or Europe. What we're looking for Desire to work in a fast paced development environment where the customer is in the loop. We prefer to fail fast and start over than to learn too late that we've built the wrong thing. Strong motivation to build an AI feature. Extensive fullstack web application development experience (5+ years), preferably in a data related industry. Experience with TypeScript, with a variety of front end frameworks (React, Vue, Node ). Nice to have Strong opinions, weakly held about how to evaluate the performance of an LLM based application. Experience bringing an application built on top of LLMs from inception to market. Ability to iterate/prototype rapidly to answer data related using LLMs (and other ML when appropriate). Awareness of what LLMs are good at, what they're not good at, and how to navigate this. Familiarity with various LLM providers and their relative tradeoffs. Why you should join Contentsquare We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we're aligned with the employees' needs. Here are a few we want to highlight: Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year Work flexibility: hybrid and remote work policies Generous paid time off policy (every location is different) Lifestyle allowance A Culture Crew in every country we're based in to coordinate regular activities for employees to get to know each other and bond outside of work Every full time employee receives stock options, allowing them to share in the company's success We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts And more benefits tailored to each country Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal. Your personal data will be securely stored in our hosting provider's data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws. Contentsquare may use AI assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.
Feb 27, 2026
Full time
About Contentsquare Contentsquare is the all in one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers' whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We're here to stay-and we're looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler-for our customers, their customers, and each other. Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog. Role Overview 1. This is a software engineering role. We are looking for applicants with minimum 5 years of software engineering experience, with a particular background in TypeScript. While we are building software on top of LLMs, this is not a machine learning role. 2. This role is remote (France, Spain, Italy, Poland, Germany) but can also be office based (hybrid) in Barcelona, Paris, Milan, Munich or Cairo. We're looking for a Senior Fullstack Engineer (Applied AI) to join one of several exciting product initiatives currently in progress that leverage the latest in AI, particularly using Large Language Models (LLMs). One example project is extending our AI CoPilot product (currently only available in Heap) to more surfaces, allowing users without expertise in product or digital experience analytics to answer their questions simply by asking them. We are moving rapidly to leverage LLMs to reduce time to insight, make setup easier, and much more. As our next Senior Software Engineer (Applied AI), you will be focused on product development, with a side of early product iteration. For example, we expect engineers to participate in user interviews as we validate product hypotheses. This is an exciting opportunity to work in a "startup within the startup." We move quickly from idea to proof of concept to interview to product, ensuring that what we build provides actual value to our customers. As LLMs and the related technologies are growing and changing rapidly, we are enthusiastic about new ideas and libraries but discerning - what we build is foundational. We're a distributed team that operates across the US and Europe. We're open to hiring the right person anywhere within the US East Coast time zone or Europe. What we're looking for Desire to work in a fast paced development environment where the customer is in the loop. We prefer to fail fast and start over than to learn too late that we've built the wrong thing. Strong motivation to build an AI feature. Extensive fullstack web application development experience (5+ years), preferably in a data related industry. Experience with TypeScript, with a variety of front end frameworks (React, Vue, Node ). Nice to have Strong opinions, weakly held about how to evaluate the performance of an LLM based application. Experience bringing an application built on top of LLMs from inception to market. Ability to iterate/prototype rapidly to answer data related using LLMs (and other ML when appropriate). Awareness of what LLMs are good at, what they're not good at, and how to navigate this. Familiarity with various LLM providers and their relative tradeoffs. Why you should join Contentsquare We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we're aligned with the employees' needs. Here are a few we want to highlight: Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year Work flexibility: hybrid and remote work policies Generous paid time off policy (every location is different) Lifestyle allowance A Culture Crew in every country we're based in to coordinate regular activities for employees to get to know each other and bond outside of work Every full time employee receives stock options, allowing them to share in the company's success We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts And more benefits tailored to each country Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal. Your personal data will be securely stored in our hosting provider's data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws. Contentsquare may use AI assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Feb 25, 2026
Full time
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Job Title:Senior Cloud Solution Architect - Azure Local & Hybrid InfrastructureJob DescriptionThe Senior Cloud Solution Architect (CSA) is a technical leader and trusted advisor responsible for designing, validating, and guiding enterprise customers through hybrid cloud and infrastructure modernization using Azure, Azure Local (Azure Stack HCI), and Hyper V.This role focuses on architecture first engagement, proactive guidance, and complex solution design across compute, storage, networking, identity, and operations, rather than reactive support. The CSA works closely with customer architects, IT leadership, and delivery teams to ensure secure, scalable, and resilient hybrid solutions aligned with Microsoft best practices. Responsibilities: Architecture & Technical Leadership Own end to end solution architecture for hybrid and on prem to Azure scenarios with hands on experience. Lead architecture design sessions, technical deep dives, and roadmap planning Translate business and technical requirements into Azure aligned reference architectures Act as senior technical authority for Azure Local and virtualization workloads Azure Local & Virtualization Architect and validate Azure Local (Azure Stack HCI 22H2+) solutions Provide senior guidance on Hyper V-based platforms and modernization strategies Design for resiliency, scalability, and performance using: Failover Clustering Storage Spaces Direct (S2D) Guide customers through VMware to Hyper V / Azure Local migrations Hybrid Azure Integration Design hybrid Azure IaaS architectures (compute, storage, networking) Enable hybrid management and governance using Azure Arc Architect business continuity and disaster recovery using Azure Backup and Azure Site Recovery Ensure designs align with the Microsoft Well Architected Framework Identity, Networking & Security Architect Active Directory-integrated hybrid identity solutions Design and review networking architectures across on prem and Azure: Virtual networking Connectivity and routing Performance and availability Ensure solutions follow security by design and least privilege principles Customer Engagement & Influence Partner with customer architects, infrastructure leads, and decision makers Influence technical strategy and platform adoption decisions Provide technical governance, risk identification, and design assurance Mentor delivery engineers and act as escalation point for complex design challenges Core Technical Expertise Azure Local / Azure Stack HCI Hyper V (2016+) Azure IaaS (VMs, networking, storage) SCVMM & SCOM (architecture level understanding) Windows Server & Failover Clustering Storage Spaces Direct (S2D) Active Directory & hybrid identity Azure Arc PowerShell (architecture level automation understanding) Experience: 15+ years in architecture, consulting, or senior engineering roles Strong background in hybrid infrastructure and virtualization platforms Proven experience designing enterprise scale, mission critical systems Comfortable operating at architect, platform lead, and decision maker level Azure / Windows Server / Azure Stack HCI certifications preferred Architecture ownership, not task execution Proactive guidance over reactive support Design authority across multiple technical domains Strong influence on customer technical strategy Hands on Troubleshooting skillsLocation:UK, Work at Home, GBLanguage Requirements:Time Type:Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the # Mission: Hi, we're Concentrix. We're a global technology and services leader that powers the brands of the future. We help well-known brands - the ones you use every day - improve their businesses with technology and integrated solutions, in over 70 countries.# Company Overview: We power the brands of the future. Some call us a global technology and services leader. But we're so much more. Human-centered, tech-powered, intelligence fuelled. Every day we're busy helping over 2000 of the world's best brands solve their toughest business challenges. Whether it's designing game-changing brand experiences, building and scaling secure AI technologies, or building loyalty to drive revenue. We design, build, and run fully integrated, end-to-end solutions across the entire enterprise, at speed and scale. We're the strategic thinkers who designbrand-defining experiences. The technologists & engineers who buildsmarter solutions. And the operational experts who run it all and make it work seamlessly. By integrating strategy & design with data & analytics, enterprise technology, and digital operations. You could say, at the heart of everything we do lies a commitment to transform the way companies connect, interact, and grow across the world and into the future. Experience the power of Concentrix.Concentrix CVG Corporation is an EEO/AA/M/F/Vet/Disability Employer.
Feb 24, 2026
Full time
Job Title:Senior Cloud Solution Architect - Azure Local & Hybrid InfrastructureJob DescriptionThe Senior Cloud Solution Architect (CSA) is a technical leader and trusted advisor responsible for designing, validating, and guiding enterprise customers through hybrid cloud and infrastructure modernization using Azure, Azure Local (Azure Stack HCI), and Hyper V.This role focuses on architecture first engagement, proactive guidance, and complex solution design across compute, storage, networking, identity, and operations, rather than reactive support. The CSA works closely with customer architects, IT leadership, and delivery teams to ensure secure, scalable, and resilient hybrid solutions aligned with Microsoft best practices. Responsibilities: Architecture & Technical Leadership Own end to end solution architecture for hybrid and on prem to Azure scenarios with hands on experience. Lead architecture design sessions, technical deep dives, and roadmap planning Translate business and technical requirements into Azure aligned reference architectures Act as senior technical authority for Azure Local and virtualization workloads Azure Local & Virtualization Architect and validate Azure Local (Azure Stack HCI 22H2+) solutions Provide senior guidance on Hyper V-based platforms and modernization strategies Design for resiliency, scalability, and performance using: Failover Clustering Storage Spaces Direct (S2D) Guide customers through VMware to Hyper V / Azure Local migrations Hybrid Azure Integration Design hybrid Azure IaaS architectures (compute, storage, networking) Enable hybrid management and governance using Azure Arc Architect business continuity and disaster recovery using Azure Backup and Azure Site Recovery Ensure designs align with the Microsoft Well Architected Framework Identity, Networking & Security Architect Active Directory-integrated hybrid identity solutions Design and review networking architectures across on prem and Azure: Virtual networking Connectivity and routing Performance and availability Ensure solutions follow security by design and least privilege principles Customer Engagement & Influence Partner with customer architects, infrastructure leads, and decision makers Influence technical strategy and platform adoption decisions Provide technical governance, risk identification, and design assurance Mentor delivery engineers and act as escalation point for complex design challenges Core Technical Expertise Azure Local / Azure Stack HCI Hyper V (2016+) Azure IaaS (VMs, networking, storage) SCVMM & SCOM (architecture level understanding) Windows Server & Failover Clustering Storage Spaces Direct (S2D) Active Directory & hybrid identity Azure Arc PowerShell (architecture level automation understanding) Experience: 15+ years in architecture, consulting, or senior engineering roles Strong background in hybrid infrastructure and virtualization platforms Proven experience designing enterprise scale, mission critical systems Comfortable operating at architect, platform lead, and decision maker level Azure / Windows Server / Azure Stack HCI certifications preferred Architecture ownership, not task execution Proactive guidance over reactive support Design authority across multiple technical domains Strong influence on customer technical strategy Hands on Troubleshooting skillsLocation:UK, Work at Home, GBLanguage Requirements:Time Type:Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the # Mission: Hi, we're Concentrix. We're a global technology and services leader that powers the brands of the future. We help well-known brands - the ones you use every day - improve their businesses with technology and integrated solutions, in over 70 countries.# Company Overview: We power the brands of the future. Some call us a global technology and services leader. But we're so much more. Human-centered, tech-powered, intelligence fuelled. Every day we're busy helping over 2000 of the world's best brands solve their toughest business challenges. Whether it's designing game-changing brand experiences, building and scaling secure AI technologies, or building loyalty to drive revenue. We design, build, and run fully integrated, end-to-end solutions across the entire enterprise, at speed and scale. We're the strategic thinkers who designbrand-defining experiences. The technologists & engineers who buildsmarter solutions. And the operational experts who run it all and make it work seamlessly. By integrating strategy & design with data & analytics, enterprise technology, and digital operations. You could say, at the heart of everything we do lies a commitment to transform the way companies connect, interact, and grow across the world and into the future. Experience the power of Concentrix.Concentrix CVG Corporation is an EEO/AA/M/F/Vet/Disability Employer.
Senior Software Engineer Hybrid/ Central Bristol 60-75,000 + 10% bonus We're hugely excited to be recruiting exclusively for a Full Stack Software Engineer, to join a startup-style team within a global, data-driven organisation. Think fast moving, big budget, heaps of autonomy, and a breakaway type of culture that is committed to pushing technical boundaries. A typical Day to Day You'll work across frontend and backend, building new features, enhancing existing ones, and exploring AI-driven capabilities like automation, predictive analytics, and intelligent decision-making tools. Collaboration with product, data, and global teams is key - you'll have the freedom to experiment, innovate, and make a direct impact. The Tech You'll Use: Their backend is predominately Python (Django & FastAPI) with JavaScript front end (bonus points if you're a Vue pro!), you'll be pulling from a SQL Database and predominately Docker K8's DevOps set up. Is it for you? You'll likely be someone that is motivated by using cutting edge AI derived tech, but also has no qualms in explaining jargon to non-technical folk! This is at times a semi outwards facing role, as you'll work with the wider group to help implement the platforms solutions. You'll likely have 4+ years commercial of Full Stack Software Engineering experience. Sound a bit of you? Great! Please apply with an up to date CV and we can take it from there
Feb 24, 2026
Full time
Senior Software Engineer Hybrid/ Central Bristol 60-75,000 + 10% bonus We're hugely excited to be recruiting exclusively for a Full Stack Software Engineer, to join a startup-style team within a global, data-driven organisation. Think fast moving, big budget, heaps of autonomy, and a breakaway type of culture that is committed to pushing technical boundaries. A typical Day to Day You'll work across frontend and backend, building new features, enhancing existing ones, and exploring AI-driven capabilities like automation, predictive analytics, and intelligent decision-making tools. Collaboration with product, data, and global teams is key - you'll have the freedom to experiment, innovate, and make a direct impact. The Tech You'll Use: Their backend is predominately Python (Django & FastAPI) with JavaScript front end (bonus points if you're a Vue pro!), you'll be pulling from a SQL Database and predominately Docker K8's DevOps set up. Is it for you? You'll likely be someone that is motivated by using cutting edge AI derived tech, but also has no qualms in explaining jargon to non-technical folk! This is at times a semi outwards facing role, as you'll work with the wider group to help implement the platforms solutions. You'll likely have 4+ years commercial of Full Stack Software Engineering experience. Sound a bit of you? Great! Please apply with an up to date CV and we can take it from there
Location: Flexible: Reigate or Manchester area Job type: Full time Working Pattern: Hybrid 4.5 day working week (Half day Fridays) About Infinity We are building the next generation of call intelligence and AI-driven insight platforms. Over the next three years, our focus is on evolving from a strong analytics foundation into an outcome-driven, API-first platform that embeds intelligence directly into customer workflows. This is an opportunity to join us at a pivotal stage. You'll help shape both how we build and what we build, working on systems that process high-volume, high-value data and increasingly leverage AI and automation to deliver measurable customer and business outcomes. We value pragmatic engineering, clear thinking, and continuous learning. Our teams are small, autonomous, and outcome-focused, with a strong emphasis on quality, ownership, and collaboration. We are entering our next growth phase - investing in AI-powered platform scalability, operational excellence and maturity, and cost-efficient growth to support our long-term strategy and enterprise ambitions. The Role As Head of DevOps, you will lead Infinity's cloud, infrastructure, and platform reliability functions, ensuring that our systems are secure, scalable, observable, and continuously deployable. You will shape and execute the DevOps and Platform Engineering strategy, enabling high-velocity software delivery with best-in-class automation, observability, and DORA-driven performance metrics. Reporting to the CTO, you will manage a small but high-impact team of two DevOps/SRE Engineers, working closely with the other teams within the Product & Engineering (P&E) organisation to build the next-generation operational foundation for Infinity's AI-driven SaaS platform. About You This should include the 4 to 5 key Infinity behaviours needed for the role eg: To succeed in Infinity and this role you need to be able to work smart, hard and with a positive energy. You work at pace always looking for ways to improve things and with an eye on the results. You are a creative thinker who dares to do things differently. Being a team player is essential. In Infinity that means being open, honest, consistent and fair and contributing to a sense of purpose and positive team morale. Key Responsibilities Strategy & Leadership Define and execute Infinity's DevOps and Platform Engineering roadmap aligned with product and engineering strategy. Lead and mentor two DevOps/SRE Engineers, developing a culture of automation, reliability, and continuous improvement. Drive adoption of DORA metrics (Deployment Frequency, Lead Time for Change, MTTR, Change Failure Rate) as core operational KPIs. Partner with the Head of Engineering and CTO to set and deliver uptime, scalability, and efficiency objectives. Infrastructure & Cloud Management Own the design, governance, and optimisation of AWS-based infrastructure, ensuring scalability, cost efficiency, and resilience. Champion Infrastructure as Code (IaC) using Terraform and Puppet for environment provisioning, configuration, and compliance automation. Lead the management and optimisation of serverless and event-driven architectures, leveraging AWS Lambda, API Gateway, and related services. Oversee cloud cost management, performance tuning, and disaster recovery planning. CI/CD & Automation Oversee the design and continuous improvement of CI/CD pipelines (GitHub Actions) to ensure rapid, low-risk deployments. Embed automated testing, code quality gates, and policy-as-code enforcement. Implement progressive delivery techniques such as blue/green and canary deployments to reduce risk. Integrate DevSecOps practices, automating security scanning, dependency management, and compliance checks. Observability, Reliability & Incident Management Establish and maintain platform-wide observability through dashboards, alerts, SLOs, SLIs, and SLAs. Use modern observability stacks (e.g. Prometheus, Grafana, Datadog, ELK) for proactive monitoring and root cause analysis. Lead post-incident reviews and ensure continuous improvement through robust RCA and feedback loops. Own and report on service reliability metrics (availability, latency, throughput, error rates) to leadership. Security, Compliance & Governance Ensure DevOps practices uphold ISO 27001, PCI-DSS, GDPR, and other relevant compliance standards. Oversee secrets management, identity and access controls, and vulnerability scanning across environments. Partner with the Head of Engineering to ensure continuous compliance and audit readiness. Embed DevSecOps principles to automate compliance validation and shift security left in the development lifecycle. Collaboration & Reporting Collaborate with the other teams within the P&E organisation, including Product, Solutions, Data, Engineering and Quality, to ensure smooth integration between development, deployment, and operations. Provide regular operational reports on uptime, incident performance, DORA metrics, and infrastructure efficiency. Work closely with the Head of Engineering on roadmap alignment, capacity planning, and continuous improvement initiatives. Key Competencies & Experience 7+ years' experience in DevOps, SRE, or infrastructure roles, including 3+ years in a leadership or senior technical capacity. Proven expertise in AWS (Lambda, EC2, RDS, S3, CloudWatch, Route53) and IaC (Terraform, Puppet, or Pulumi). Strong knowledge of CI/CD tooling, observability stacks, and cloud security best practices. Demonstrated experience applying DORA metrics and improving delivery performance. Deep understanding of network security, identity management, and compliance frameworks (ISO 27001, PCI-DSS, SOC2, GDPR). Excellent collaboration, communication, and problem-solving skills, with a mindset for automation and continuous improvement. Desirable Experience supporting AI/ML or real-time analytics workloads. AWS Certified DevOps Engineer, or equivalent certification. Experience within MarTech, call-tracking, or voice analytics SaaS environments. Prior involvement in ISO 27001 and PCI-DSS certification or audit evidence processes. Benefits you can enjoy 4.5 day working week (Half day every Friday- 1pm finish) 25 days holiday (with the option to buy up to an additional 5 days per year) Private single medical insurance Employee Assistance Programme Life Assurance (4x Salary) Enhanced Maternity and Paternity Pay Tech Scheme Loan (of up to £2,000 per year) Ride to Work Scheme Season Ticket Loan Dedicated annual company and team social budget At infinity, our aim is to be the best call tracking provider in the world and to do that we welcome our employees with open arms and create an environment where you can bring your best self, every day! We're an equal opportunities employer. That means we'll never discriminate based on race, religion, origin, gender expression, sexual orientation, age, marital status, social economics status or disability status. In fact, our recruitment process is completely anonymised, and we don't see any of your personal details when we review your application. At Infinity, we don't treat our hiring process as a box ticking exercise and we're just as interested in team fit as we are technical fit. So, even if you don't meet all the requirements listed in one of our vacancies, get in touch with us anyway because we'd love to hear from you
Feb 21, 2026
Full time
Location: Flexible: Reigate or Manchester area Job type: Full time Working Pattern: Hybrid 4.5 day working week (Half day Fridays) About Infinity We are building the next generation of call intelligence and AI-driven insight platforms. Over the next three years, our focus is on evolving from a strong analytics foundation into an outcome-driven, API-first platform that embeds intelligence directly into customer workflows. This is an opportunity to join us at a pivotal stage. You'll help shape both how we build and what we build, working on systems that process high-volume, high-value data and increasingly leverage AI and automation to deliver measurable customer and business outcomes. We value pragmatic engineering, clear thinking, and continuous learning. Our teams are small, autonomous, and outcome-focused, with a strong emphasis on quality, ownership, and collaboration. We are entering our next growth phase - investing in AI-powered platform scalability, operational excellence and maturity, and cost-efficient growth to support our long-term strategy and enterprise ambitions. The Role As Head of DevOps, you will lead Infinity's cloud, infrastructure, and platform reliability functions, ensuring that our systems are secure, scalable, observable, and continuously deployable. You will shape and execute the DevOps and Platform Engineering strategy, enabling high-velocity software delivery with best-in-class automation, observability, and DORA-driven performance metrics. Reporting to the CTO, you will manage a small but high-impact team of two DevOps/SRE Engineers, working closely with the other teams within the Product & Engineering (P&E) organisation to build the next-generation operational foundation for Infinity's AI-driven SaaS platform. About You This should include the 4 to 5 key Infinity behaviours needed for the role eg: To succeed in Infinity and this role you need to be able to work smart, hard and with a positive energy. You work at pace always looking for ways to improve things and with an eye on the results. You are a creative thinker who dares to do things differently. Being a team player is essential. In Infinity that means being open, honest, consistent and fair and contributing to a sense of purpose and positive team morale. Key Responsibilities Strategy & Leadership Define and execute Infinity's DevOps and Platform Engineering roadmap aligned with product and engineering strategy. Lead and mentor two DevOps/SRE Engineers, developing a culture of automation, reliability, and continuous improvement. Drive adoption of DORA metrics (Deployment Frequency, Lead Time for Change, MTTR, Change Failure Rate) as core operational KPIs. Partner with the Head of Engineering and CTO to set and deliver uptime, scalability, and efficiency objectives. Infrastructure & Cloud Management Own the design, governance, and optimisation of AWS-based infrastructure, ensuring scalability, cost efficiency, and resilience. Champion Infrastructure as Code (IaC) using Terraform and Puppet for environment provisioning, configuration, and compliance automation. Lead the management and optimisation of serverless and event-driven architectures, leveraging AWS Lambda, API Gateway, and related services. Oversee cloud cost management, performance tuning, and disaster recovery planning. CI/CD & Automation Oversee the design and continuous improvement of CI/CD pipelines (GitHub Actions) to ensure rapid, low-risk deployments. Embed automated testing, code quality gates, and policy-as-code enforcement. Implement progressive delivery techniques such as blue/green and canary deployments to reduce risk. Integrate DevSecOps practices, automating security scanning, dependency management, and compliance checks. Observability, Reliability & Incident Management Establish and maintain platform-wide observability through dashboards, alerts, SLOs, SLIs, and SLAs. Use modern observability stacks (e.g. Prometheus, Grafana, Datadog, ELK) for proactive monitoring and root cause analysis. Lead post-incident reviews and ensure continuous improvement through robust RCA and feedback loops. Own and report on service reliability metrics (availability, latency, throughput, error rates) to leadership. Security, Compliance & Governance Ensure DevOps practices uphold ISO 27001, PCI-DSS, GDPR, and other relevant compliance standards. Oversee secrets management, identity and access controls, and vulnerability scanning across environments. Partner with the Head of Engineering to ensure continuous compliance and audit readiness. Embed DevSecOps principles to automate compliance validation and shift security left in the development lifecycle. Collaboration & Reporting Collaborate with the other teams within the P&E organisation, including Product, Solutions, Data, Engineering and Quality, to ensure smooth integration between development, deployment, and operations. Provide regular operational reports on uptime, incident performance, DORA metrics, and infrastructure efficiency. Work closely with the Head of Engineering on roadmap alignment, capacity planning, and continuous improvement initiatives. Key Competencies & Experience 7+ years' experience in DevOps, SRE, or infrastructure roles, including 3+ years in a leadership or senior technical capacity. Proven expertise in AWS (Lambda, EC2, RDS, S3, CloudWatch, Route53) and IaC (Terraform, Puppet, or Pulumi). Strong knowledge of CI/CD tooling, observability stacks, and cloud security best practices. Demonstrated experience applying DORA metrics and improving delivery performance. Deep understanding of network security, identity management, and compliance frameworks (ISO 27001, PCI-DSS, SOC2, GDPR). Excellent collaboration, communication, and problem-solving skills, with a mindset for automation and continuous improvement. Desirable Experience supporting AI/ML or real-time analytics workloads. AWS Certified DevOps Engineer, or equivalent certification. Experience within MarTech, call-tracking, or voice analytics SaaS environments. Prior involvement in ISO 27001 and PCI-DSS certification or audit evidence processes. Benefits you can enjoy 4.5 day working week (Half day every Friday- 1pm finish) 25 days holiday (with the option to buy up to an additional 5 days per year) Private single medical insurance Employee Assistance Programme Life Assurance (4x Salary) Enhanced Maternity and Paternity Pay Tech Scheme Loan (of up to £2,000 per year) Ride to Work Scheme Season Ticket Loan Dedicated annual company and team social budget At infinity, our aim is to be the best call tracking provider in the world and to do that we welcome our employees with open arms and create an environment where you can bring your best self, every day! We're an equal opportunities employer. That means we'll never discriminate based on race, religion, origin, gender expression, sexual orientation, age, marital status, social economics status or disability status. In fact, our recruitment process is completely anonymised, and we don't see any of your personal details when we review your application. At Infinity, we don't treat our hiring process as a box ticking exercise and we're just as interested in team fit as we are technical fit. So, even if you don't meet all the requirements listed in one of our vacancies, get in touch with us anyway because we'd love to hear from you
CloserStill Media London Hybrid WHO WE ARE: At CloserStill, we strive to deliver the best. We're on a mission to be the most dynamic B2B events and communities business in every market we serve, bringing people together to learn, connect and grow. Operating across five regions, we power over 200 market leading events, publications and brands across Business Technologies, Healthcare, Learning, HR & Education, and Future Transport & Infrastructure. But what truly sets us apart is our people. WHO WE ARE LOOKING FOR: A technical leader who's built modern data platforms and integration systems at scale. Someone who's equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems. You've led engineering teams, championed DevOps practices, and have deep Azure experience. Bonus points if you've enabled third party developer ecosystems or worked in media/events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading and scaling engineering teams Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash THE ROLE: You'll own the technical vision and delivery of our core platforms: Build world class platforms Architect cloud native data and AI systems that support analytics, ML workloads, and real time operations Create API first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead exceptional teams Build, mentor, and scale high performing engineering teams Set standards for code quality, security, and performance Drive DevOps and CI/CD culture for fast, reliable delivery Drive business impact Translate business needs into technical solutions Partner with product, data, and operations leaders Own the engineering roadmap and align resources to the outcome Platform & Architecture Leadership Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms Architect scalable, secure, and resilient cloud native solutions using Microsoft Azure Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real time operational use cases Design and evolve an API first integration platform enabling internal teams and external partners to build and integrate services efficiently Data, AI & MLOps Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management Partner closely with data science and analytics teams to ensure platforms enable experimentation and production grade AI Engineering Leadership & Delivery Build, lead, and mentor high performing engineering teams across data platform and integration domains Set engineering standards for code quality, security, reliability, and performance Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery Balance strategic architecture work with hands on technical leadership where required Define and own the engineering roadmap and align to resource needs Work with: Azure, Databricks, Bash, JavaScript, Node, Python, PySpark, SQL Integration & Ecosystem Enablement Own the strategy and delivery of integration services, including public and private APIs, event driven and asynchronous integrations, and authentication/authorisation models Enable third party vendors, partners, and developers to integrate seamlessly into CloserStill's ecosystem Ensure strong governance, observability, and documentation across all integration services Stakeholder Collaboration Work closely with senior stakeholders across technology, product, data, and operations to align engineering outcomes with business objectives Translate business needs into scalable technical solutions Contribute to broader technology strategy and investment decisions Align the roadmap to business outcome delivery ABOUT YOU: Essential Experience: Proven experience in a senior engineering leadership role (Head of Engineering, Engineering Manager, or similar) Strong background in building data platforms for analytics and operational use cases Deep experience with Microsoft Azure cloud services Hands on experience designing and building APIs and integration platforms Experience working with Databricks for data engineering and analytics Strong understanding of MLOps practices and productionising machine learning models Experience leading and scaling engineering teams in a modern, agile environment Desirable Experience: Experience enabling third party developer ecosystems or platform as a product models Familiarity with event driven architectures and streaming technologies Background in media, events, SaaS, or data driven businesses Strong understanding of security, identity, and access management in cloud platforms Personal Attributes: Strategic thinker with a strong bias toward execution Comfortable operating at both architectural and hands on levels Excellent communicator, able to engage technical and non technical stakeholders and provide clear, concise project updates Passionate about data, AI, and building platforms that unlock business value Natural leader who develops teams and fosters a culture of engineering excellence Unfortunately, we are unable to provide sponsorship for this position. CloserStill Media reserves the right to request a DBS or credit check should the role require it. DIVERSITY AND INCLUSION: CloserStill Media embrace diversity in all its forms and are committed to continuing to develop a diverse and inclusive environment that encourages collaboration and innovation. We are an equal opportunity employer. All applicants will be considered for employment based on merit without attention to age, ethnicity, religion or beliefs, sexual orientation, gender identity, family or parental status or disability status. We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments at any stage, don't hesitate to get in touch with our HR team at .
Feb 20, 2026
Full time
CloserStill Media London Hybrid WHO WE ARE: At CloserStill, we strive to deliver the best. We're on a mission to be the most dynamic B2B events and communities business in every market we serve, bringing people together to learn, connect and grow. Operating across five regions, we power over 200 market leading events, publications and brands across Business Technologies, Healthcare, Learning, HR & Education, and Future Transport & Infrastructure. But what truly sets us apart is our people. WHO WE ARE LOOKING FOR: A technical leader who's built modern data platforms and integration systems at scale. Someone who's equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems. You've led engineering teams, championed DevOps practices, and have deep Azure experience. Bonus points if you've enabled third party developer ecosystems or worked in media/events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading and scaling engineering teams Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash THE ROLE: You'll own the technical vision and delivery of our core platforms: Build world class platforms Architect cloud native data and AI systems that support analytics, ML workloads, and real time operations Create API first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead exceptional teams Build, mentor, and scale high performing engineering teams Set standards for code quality, security, and performance Drive DevOps and CI/CD culture for fast, reliable delivery Drive business impact Translate business needs into technical solutions Partner with product, data, and operations leaders Own the engineering roadmap and align resources to the outcome Platform & Architecture Leadership Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms Architect scalable, secure, and resilient cloud native solutions using Microsoft Azure Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real time operational use cases Design and evolve an API first integration platform enabling internal teams and external partners to build and integrate services efficiently Data, AI & MLOps Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management Partner closely with data science and analytics teams to ensure platforms enable experimentation and production grade AI Engineering Leadership & Delivery Build, lead, and mentor high performing engineering teams across data platform and integration domains Set engineering standards for code quality, security, reliability, and performance Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery Balance strategic architecture work with hands on technical leadership where required Define and own the engineering roadmap and align to resource needs Work with: Azure, Databricks, Bash, JavaScript, Node, Python, PySpark, SQL Integration & Ecosystem Enablement Own the strategy and delivery of integration services, including public and private APIs, event driven and asynchronous integrations, and authentication/authorisation models Enable third party vendors, partners, and developers to integrate seamlessly into CloserStill's ecosystem Ensure strong governance, observability, and documentation across all integration services Stakeholder Collaboration Work closely with senior stakeholders across technology, product, data, and operations to align engineering outcomes with business objectives Translate business needs into scalable technical solutions Contribute to broader technology strategy and investment decisions Align the roadmap to business outcome delivery ABOUT YOU: Essential Experience: Proven experience in a senior engineering leadership role (Head of Engineering, Engineering Manager, or similar) Strong background in building data platforms for analytics and operational use cases Deep experience with Microsoft Azure cloud services Hands on experience designing and building APIs and integration platforms Experience working with Databricks for data engineering and analytics Strong understanding of MLOps practices and productionising machine learning models Experience leading and scaling engineering teams in a modern, agile environment Desirable Experience: Experience enabling third party developer ecosystems or platform as a product models Familiarity with event driven architectures and streaming technologies Background in media, events, SaaS, or data driven businesses Strong understanding of security, identity, and access management in cloud platforms Personal Attributes: Strategic thinker with a strong bias toward execution Comfortable operating at both architectural and hands on levels Excellent communicator, able to engage technical and non technical stakeholders and provide clear, concise project updates Passionate about data, AI, and building platforms that unlock business value Natural leader who develops teams and fosters a culture of engineering excellence Unfortunately, we are unable to provide sponsorship for this position. CloserStill Media reserves the right to request a DBS or credit check should the role require it. DIVERSITY AND INCLUSION: CloserStill Media embrace diversity in all its forms and are committed to continuing to develop a diverse and inclusive environment that encourages collaboration and innovation. We are an equal opportunity employer. All applicants will be considered for employment based on merit without attention to age, ethnicity, religion or beliefs, sexual orientation, gender identity, family or parental status or disability status. We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments at any stage, don't hesitate to get in touch with our HR team at .
At Visa, we are passionate about making a difference. We lead the way in disrupting fraud from multiple vectors. In this role you will be joining an exciting, innovative business new to the Visa family. At Featurespace, we are the world leader in Enterprise Financial Crime prevention, using cutting-edge machine learning technology to fight fraud and money laundering. As the inventors of Adaptive Behavioral Analytics and creators of the ARIC platform, we are trusted by customers across 180+ countries. As a Senior Software Engineer, you will help shape the future of our SaaS platform, playing a key role in delivering next-generation fraud prevention solutions at scale. The Opportunity As a Senior Software Engineer at Featurespace, you will play a pivotal role in designing, building, and scaling our global, multi-tenant SaaS platform. This hands-on role offers the chance to make a significant impact by leveraging cutting-edge technologies to combat financial crime and deliver innovative solutions to customers worldwide. If you thrive in a collaborative, innovative, and fast-paced environment, this is your chance to lead, mentor, and shape the future of our platform while delivering high-impact solutions in a startup-style environment. In this role, you will: Lead the design and development of services and infrastructure for our SaaS platform, utilizing technologies like Java, Python, Rust and AWS. Own and drive complex technical projects, guiding the team through architectural discussions and implementation to ensure scalability, maintainability, and performance. Collaborate across teams with engineers, product managers, designers, and data scientists to design and build end to end features that solve real customer problems. Partner with internal stakeholders to gather and refine product requirements, aligning them with technical strategies to enhance our platform's capabilities. Optimize cloud infrastructure and managed services, ensuring our systems are secure, performant, and scalable as our customer base continues to grow globally. Mentor junior engineers, foster best practices in code quality, automated testing, and architecture decisions across the team. Troubleshoot and resolve performance bottlenecks in our multi tenant architecture, ensuring uptime and reliability across the tech stack. Take operational responsibility for the services owned by your team, including participation in on call rotations to ensure the health of production services. Why Join Us? Be part of a growing, passionate team that's leading the fight against financial crime with innovative technology. Work on impactful projects that shape the future of fraud prevention and AML solutions. Collaborate with a talented group of engineers in a fast paced, learning focused environment. This is a hybrid position. There is an expectation of at least 3 days in the office per week. Basic Qualifications Work experience with a Bachelor's Degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, or PhD) Required experience: Proven experience as a Software Engineer or Senior Software Engineer, ideally within a high scale SaaS environment. Proficiency programming in Java or Python. Strong understanding of systems design, data structures, and algorithms for building distributed systems. Ability to lead technical projects, mentor team members, and influence architectural decisions. A commitment to automated testing practices and ensuring the reliability of systems. Strong skills in troubleshooting and optimizing performance in large, distributed systems. Great to have: Experience working in fraud prevention or financial technology domains. Familiarity with relational and NoSQL databases in production environments (e.g., PostgreSQL, DynamoDB). Experience with large scale data processing, storage technologies, and RESTful API design. Hands on experience with AWS services such as Lambda, ECS, S3, RDS. Familiarity with Kubernetes. Knowledge of message queueing systems and event driven architectures. Experience with CI/CD pipelines, source control, and modern development environments. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Feb 18, 2026
Full time
At Visa, we are passionate about making a difference. We lead the way in disrupting fraud from multiple vectors. In this role you will be joining an exciting, innovative business new to the Visa family. At Featurespace, we are the world leader in Enterprise Financial Crime prevention, using cutting-edge machine learning technology to fight fraud and money laundering. As the inventors of Adaptive Behavioral Analytics and creators of the ARIC platform, we are trusted by customers across 180+ countries. As a Senior Software Engineer, you will help shape the future of our SaaS platform, playing a key role in delivering next-generation fraud prevention solutions at scale. The Opportunity As a Senior Software Engineer at Featurespace, you will play a pivotal role in designing, building, and scaling our global, multi-tenant SaaS platform. This hands-on role offers the chance to make a significant impact by leveraging cutting-edge technologies to combat financial crime and deliver innovative solutions to customers worldwide. If you thrive in a collaborative, innovative, and fast-paced environment, this is your chance to lead, mentor, and shape the future of our platform while delivering high-impact solutions in a startup-style environment. In this role, you will: Lead the design and development of services and infrastructure for our SaaS platform, utilizing technologies like Java, Python, Rust and AWS. Own and drive complex technical projects, guiding the team through architectural discussions and implementation to ensure scalability, maintainability, and performance. Collaborate across teams with engineers, product managers, designers, and data scientists to design and build end to end features that solve real customer problems. Partner with internal stakeholders to gather and refine product requirements, aligning them with technical strategies to enhance our platform's capabilities. Optimize cloud infrastructure and managed services, ensuring our systems are secure, performant, and scalable as our customer base continues to grow globally. Mentor junior engineers, foster best practices in code quality, automated testing, and architecture decisions across the team. Troubleshoot and resolve performance bottlenecks in our multi tenant architecture, ensuring uptime and reliability across the tech stack. Take operational responsibility for the services owned by your team, including participation in on call rotations to ensure the health of production services. Why Join Us? Be part of a growing, passionate team that's leading the fight against financial crime with innovative technology. Work on impactful projects that shape the future of fraud prevention and AML solutions. Collaborate with a talented group of engineers in a fast paced, learning focused environment. This is a hybrid position. There is an expectation of at least 3 days in the office per week. Basic Qualifications Work experience with a Bachelor's Degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, or PhD) Required experience: Proven experience as a Software Engineer or Senior Software Engineer, ideally within a high scale SaaS environment. Proficiency programming in Java or Python. Strong understanding of systems design, data structures, and algorithms for building distributed systems. Ability to lead technical projects, mentor team members, and influence architectural decisions. A commitment to automated testing practices and ensuring the reliability of systems. Strong skills in troubleshooting and optimizing performance in large, distributed systems. Great to have: Experience working in fraud prevention or financial technology domains. Familiarity with relational and NoSQL databases in production environments (e.g., PostgreSQL, DynamoDB). Experience with large scale data processing, storage technologies, and RESTful API design. Hands on experience with AWS services such as Lambda, ECS, S3, RDS. Familiarity with Kubernetes. Knowledge of message queueing systems and event driven architectures. Experience with CI/CD pipelines, source control, and modern development environments. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
About InvestEngine InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We've built a strong foundation, have over £2 billion invested, award-winning service, and a passionate team, now we're ready to scale. About the Role We're looking for a Head of Product - Growth to join our Product team. You'll be working on owning and accelerating our growth engine - transforming the end-to-end journey from initial web visit to funded account, and driving customer acquisition, onboarding optimisation, and revenue expansion across Individual and SME clients. This role is ideal for someone who's commercially minded, data-driven, and comfortable operating at both strategic and hands on levels. You thrive in high growth environments, can balance experimentation with regulatory rigour, and enjoy aligning multiple teams around clear, measurable outcomes. You'll work closely with Marketing, Engineering, Compliance, and Operations, and have the autonomy to own growth strategy from discovery through to delivery and measurable impact. What You'll Do Own and define the end to end growth strategy across acquisition, onboarding, activation, and monetisation Increase the "Sign-up to Funded" conversion rate through structured experimentation, funnel optimisation, and data driven decision making Lead the redesign and scaling of our Business Account (SME) offering to increase revenue contribution and market penetration Launch and iterate on subscription tiers and pricing models, targeting sustainable MRR growth Optimise the onboarding journey by reducing friction while ensuring seamless AML/KYC compliance Reduce manual KYC/AML interventions for standard applications through automation and smarter product design Improve loyalty and referral performance, increasing Trust Pilot score and referrals per funded customer Accelerate marketing tech and CMS delivery, reducing lead time for landing pages, campaigns, and growth experiments Align product roadmap priorities with high impact commercial initiatives in collaboration with Marketing and Leadership What We're Looking For 7+ years of experience in Product Management, including significant ownership of growth, acquisition, or monetisation in a digital product environment Strong experience in conversion rate optimisation, A/B testing, and funnel analytics (e.g.GA4, Amplitude, Mixpanel or similar tools) Proven track record of launching and scaling products in regulated environments, ideally involving AML/KYC and identity verification flows Experience designing and testing subscription models, pricing strategies, or revenue optimisation initiatives Ability to operate at both strategic and execution levels in a fast moving environment Strong stakeholder management skills - able to align Marketing, Engineering, and Compliance around shared growth objectives Analytical mindset with comfort interpreting data, defining metrics, and owning measurable commercial outcomes English fluency (C1 level and above) - we are a UK based company, and the role involves regular communication with the team Nice to Have Experience leading MarTech stack evolution or CMS platforms with strong SEO foundations Experience building SME or B2B fintech products Background in fintech, wealth management, or other regulated financial services environments Experience in high growth start ups or scale ups How We Work We're a lean, fast moving team that values clarity, ownership, and transparency. You'll have the freedom to experiment, the responsibility to follow through, and the backing of a team that values clear thinking and open dialogue. We believe in solving problems at the root, not just treating the symptoms. What We Offer Impact from day one You'll take on meaningful work from the start, tackling real challenges that drive the stability, efficiency, and growth of our business. Room to grow As we scale, you'll have opportunities to expand your responsibilities, influence how we work, and help shape our long term direction. Transparent and open culture We share decisions openly, keep communication channels clear, and encourage collaboration across every part of the business. Supportive,experienced team Work alongside talented professionals who are experts in their fields - smart, driven, and generous with their knowledge. Remote first and flexible Work in the way that best suits you. We focus on results, not rigid hours, and trust you to manage your time effectively. Our Hiring Process Introductory call with our Talent team Competency interview focused on your experience with a hiring manager Gamified cognitive assessment to understand how you think and problem solve Senior leadership interview to explore alignment with our culture, values, and strategic direction
Feb 15, 2026
Full time
About InvestEngine InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We've built a strong foundation, have over £2 billion invested, award-winning service, and a passionate team, now we're ready to scale. About the Role We're looking for a Head of Product - Growth to join our Product team. You'll be working on owning and accelerating our growth engine - transforming the end-to-end journey from initial web visit to funded account, and driving customer acquisition, onboarding optimisation, and revenue expansion across Individual and SME clients. This role is ideal for someone who's commercially minded, data-driven, and comfortable operating at both strategic and hands on levels. You thrive in high growth environments, can balance experimentation with regulatory rigour, and enjoy aligning multiple teams around clear, measurable outcomes. You'll work closely with Marketing, Engineering, Compliance, and Operations, and have the autonomy to own growth strategy from discovery through to delivery and measurable impact. What You'll Do Own and define the end to end growth strategy across acquisition, onboarding, activation, and monetisation Increase the "Sign-up to Funded" conversion rate through structured experimentation, funnel optimisation, and data driven decision making Lead the redesign and scaling of our Business Account (SME) offering to increase revenue contribution and market penetration Launch and iterate on subscription tiers and pricing models, targeting sustainable MRR growth Optimise the onboarding journey by reducing friction while ensuring seamless AML/KYC compliance Reduce manual KYC/AML interventions for standard applications through automation and smarter product design Improve loyalty and referral performance, increasing Trust Pilot score and referrals per funded customer Accelerate marketing tech and CMS delivery, reducing lead time for landing pages, campaigns, and growth experiments Align product roadmap priorities with high impact commercial initiatives in collaboration with Marketing and Leadership What We're Looking For 7+ years of experience in Product Management, including significant ownership of growth, acquisition, or monetisation in a digital product environment Strong experience in conversion rate optimisation, A/B testing, and funnel analytics (e.g.GA4, Amplitude, Mixpanel or similar tools) Proven track record of launching and scaling products in regulated environments, ideally involving AML/KYC and identity verification flows Experience designing and testing subscription models, pricing strategies, or revenue optimisation initiatives Ability to operate at both strategic and execution levels in a fast moving environment Strong stakeholder management skills - able to align Marketing, Engineering, and Compliance around shared growth objectives Analytical mindset with comfort interpreting data, defining metrics, and owning measurable commercial outcomes English fluency (C1 level and above) - we are a UK based company, and the role involves regular communication with the team Nice to Have Experience leading MarTech stack evolution or CMS platforms with strong SEO foundations Experience building SME or B2B fintech products Background in fintech, wealth management, or other regulated financial services environments Experience in high growth start ups or scale ups How We Work We're a lean, fast moving team that values clarity, ownership, and transparency. You'll have the freedom to experiment, the responsibility to follow through, and the backing of a team that values clear thinking and open dialogue. We believe in solving problems at the root, not just treating the symptoms. What We Offer Impact from day one You'll take on meaningful work from the start, tackling real challenges that drive the stability, efficiency, and growth of our business. Room to grow As we scale, you'll have opportunities to expand your responsibilities, influence how we work, and help shape our long term direction. Transparent and open culture We share decisions openly, keep communication channels clear, and encourage collaboration across every part of the business. Supportive,experienced team Work alongside talented professionals who are experts in their fields - smart, driven, and generous with their knowledge. Remote first and flexible Work in the way that best suits you. We focus on results, not rigid hours, and trust you to manage your time effectively. Our Hiring Process Introductory call with our Talent team Competency interview focused on your experience with a hiring manager Gamified cognitive assessment to understand how you think and problem solve Senior leadership interview to explore alignment with our culture, values, and strategic direction
Senior Data Engineer UK-Based Hybrid Working SC Clearable Required Permanent Meraki are working on behalf of a high-growth digital consultancy delivering mission-critical data platforms across the UK public sector. We re looking for a Senior Data Engineer to design, build and operate modern data pipelines and analytics platforms that power secure, large-scale digital services. This is a hands-on, delivery-focused role within multidisciplinary agile teams. You ll play a key part in enabling organisations to collect, process and use data effectively supporting operational reporting, analytics and meaningful insight across complex environments. This role would suit someone who enjoys solving well-defined problems independently, applying strong engineering judgement, and contributing to continuous platform improvement rather than being tied to one specific technology stack or cloud vendor. The Role You will: Design, build and maintain reliable data pipelines to ingest, transform and serve data from multiple sources Develop analytics-ready data models to support reporting and operational insight Support the full data lifecycle (retention, archiving, decommissioning) in line with governance requirements Apply data quality, testing and monitoring best practices Translate user and business needs into practical, well-engineered data solutions Contribute to shared data standards, documentation and data dictionaries Collaborate with cross-functional delivery teams to drive improved data outcomes Technical Experience You ll bring strong commercial experience across several of the following: Modern data engineering patterns (batch and event-driven pipelines) Strong SQL and at least one data-focused programming language (e.g. Python) Data integration, transformation and orchestration tooling Analytical data platforms (data warehouses, lakehouse architectures) Applying DevOps and software engineering practices to data (CI/CD, version control, automated testing) Working across cloud platforms in a vendor-agnostic way Contributing to open-source tooling where appropriate What We re Looking For Operates confidently at senior level Comfortable working independently within defined delivery scopes Strong communicator able to explain data concepts to both technical and non-technical stakeholders Collaborative, pragmatic and delivery-focused Comfortable in customer-facing environments Understands secure-by-design and government data principles Security Clearance Due to the nature of the work, candidates must: Be eligible for SC Clearance Have lived continuously in the UK for the past 5+ years Have the right to work in the UK without sponsorship What s on Offer Competitive salary with annual review Employer pension contribution starting at 5%, increasing with tenure Group life assurance Genuine hybrid working + home setup allowance 25 days annual leave + bank holidays (with buy/sell option) Fully funded professional certifications (AWS, GCP, Agile etc.) 5 days paid study leave + £500 annual personal development fund 1-2-1 coaching and structured career progression Private medical insurance Cycle to Work scheme 2 paid volunteering days per year Inclusive Hiring We strongly encourage applications from individuals who may not meet every single requirement. If you re excited by the opportunity but don t tick every box, we d still love to hear from you.
Feb 15, 2026
Full time
Senior Data Engineer UK-Based Hybrid Working SC Clearable Required Permanent Meraki are working on behalf of a high-growth digital consultancy delivering mission-critical data platforms across the UK public sector. We re looking for a Senior Data Engineer to design, build and operate modern data pipelines and analytics platforms that power secure, large-scale digital services. This is a hands-on, delivery-focused role within multidisciplinary agile teams. You ll play a key part in enabling organisations to collect, process and use data effectively supporting operational reporting, analytics and meaningful insight across complex environments. This role would suit someone who enjoys solving well-defined problems independently, applying strong engineering judgement, and contributing to continuous platform improvement rather than being tied to one specific technology stack or cloud vendor. The Role You will: Design, build and maintain reliable data pipelines to ingest, transform and serve data from multiple sources Develop analytics-ready data models to support reporting and operational insight Support the full data lifecycle (retention, archiving, decommissioning) in line with governance requirements Apply data quality, testing and monitoring best practices Translate user and business needs into practical, well-engineered data solutions Contribute to shared data standards, documentation and data dictionaries Collaborate with cross-functional delivery teams to drive improved data outcomes Technical Experience You ll bring strong commercial experience across several of the following: Modern data engineering patterns (batch and event-driven pipelines) Strong SQL and at least one data-focused programming language (e.g. Python) Data integration, transformation and orchestration tooling Analytical data platforms (data warehouses, lakehouse architectures) Applying DevOps and software engineering practices to data (CI/CD, version control, automated testing) Working across cloud platforms in a vendor-agnostic way Contributing to open-source tooling where appropriate What We re Looking For Operates confidently at senior level Comfortable working independently within defined delivery scopes Strong communicator able to explain data concepts to both technical and non-technical stakeholders Collaborative, pragmatic and delivery-focused Comfortable in customer-facing environments Understands secure-by-design and government data principles Security Clearance Due to the nature of the work, candidates must: Be eligible for SC Clearance Have lived continuously in the UK for the past 5+ years Have the right to work in the UK without sponsorship What s on Offer Competitive salary with annual review Employer pension contribution starting at 5%, increasing with tenure Group life assurance Genuine hybrid working + home setup allowance 25 days annual leave + bank holidays (with buy/sell option) Fully funded professional certifications (AWS, GCP, Agile etc.) 5 days paid study leave + £500 annual personal development fund 1-2-1 coaching and structured career progression Private medical insurance Cycle to Work scheme 2 paid volunteering days per year Inclusive Hiring We strongly encourage applications from individuals who may not meet every single requirement. If you re excited by the opportunity but don t tick every box, we d still love to hear from you.
Senior Data Engineer Location: London Employment Type: Full-time Salary: 80k per annum + 10% bonus & bens Sector: Fintech / Payments Overview We are looking for a skilled Senior Data Engineer with a strong foundation in data analytics to join our growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. You'll help us scale our data infrastructure, design and build robust data models, and contribute directly to our data platform's evolution. This is a hands-on role where you'll be expected to hit the ground running, contribute to ongoing projects with minimal hand-holding, and help us maintain (and improve) the current team's velocity. Key Responsibilities Design, develop, and maintain data models to support analytical and operational use cases. Write efficient, production-grade SQL to build data pipelines and transformations. Develop and maintain data workflows and automation scripts in Python . Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions. (Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform . Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions. Skills & Experience 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer . Proven expertise in SQL and building complex data models. Strong proficiency in Python for data processing, ETL, and workflow automation. Experience with cloud data platforms (Snowflake experience highly desirable). Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus. Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment.
Feb 12, 2026
Full time
Senior Data Engineer Location: London Employment Type: Full-time Salary: 80k per annum + 10% bonus & bens Sector: Fintech / Payments Overview We are looking for a skilled Senior Data Engineer with a strong foundation in data analytics to join our growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. You'll help us scale our data infrastructure, design and build robust data models, and contribute directly to our data platform's evolution. This is a hands-on role where you'll be expected to hit the ground running, contribute to ongoing projects with minimal hand-holding, and help us maintain (and improve) the current team's velocity. Key Responsibilities Design, develop, and maintain data models to support analytical and operational use cases. Write efficient, production-grade SQL to build data pipelines and transformations. Develop and maintain data workflows and automation scripts in Python . Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions. (Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform . Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions. Skills & Experience 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer . Proven expertise in SQL and building complex data models. Strong proficiency in Python for data processing, ETL, and workflow automation. Experience with cloud data platforms (Snowflake experience highly desirable). Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus. Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment.
