A leading software organization in London seeks a Senior Data Engineer to design and implement a modern cloud-based data platform. The role involves architecting data pipelines, ensuring data security, and collaborating with data teams. Candidates should have at least 5 years' experience in data engineering, with a strong background in Azure Databricks, Python, and data troubleshooting. This position offers a competitive salary, 25 days annual leave, and additional benefits in a hybrid work environment.
Aug 26, 2026
Full time
A leading software organization in London seeks a Senior Data Engineer to design and implement a modern cloud-based data platform. The role involves architecting data pipelines, ensuring data security, and collaborating with data teams. Candidates should have at least 5 years' experience in data engineering, with a strong background in Azure Databricks, Python, and data troubleshooting. This position offers a competitive salary, 25 days annual leave, and additional benefits in a hybrid work environment.
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
Aug 26, 2026
Full time
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Cyber Security Technical Security Consultant to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a technical Consultant, you will be expected to demonstrate versatility as you work closely with our public sector clients, governmental departments and project teams. You will be expected to help design, document, and build secure networks or systems: solving some of the UK's most exciting cyber security challenges. What's in it for you? You will be joining the company at Daintta "Consultant" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Key Responsibilities Developing, justifying and implementing organisational and system security management strategies that address risk and control requirements, ensuring a UK Gov't Secure by Design approach Selecting, understanding and adapting/adopting appropriate security control frameworks Identifying security risk business and stakeholder security requirements and proposing proportionate assessment, design and implementation of secure systems to meet the requirements Performing threat modelling and risk assessments to develop a holistic picture of threat Ensuring security principles are applied during solution planning, design, test, deployment and operations to reduce risk and ensure compliance, including: Developing or supporting the development of secure solution designs to mitigate the risks posed by new technologies and business practices Supporting third-party and supply chain security assessments, including vendor due diligence, secure procurement, software supply chain risk and ongoing assurance of externally sourced technology Applying identity-led and zero trust security principles, including strong authentication, least privilege, contextual access control and segmentation of services, users and devices Defining and reviewing security assurance activities, including design assurance, verification, validation, vulnerability assessment, penetration testing inputs and interpretation of assurance evidence Developing and communicating corporate and domain information security policy, standards, guidelines and design guardrails Identifying and monitoring environmental and market trends and proactively assessing impact on business strategies, benefits and risks Assessing your client's' needs, understanding how their needs may differ from their wants, and appropriately managing stakeholder relationships Delivering high-quality work to agreed milestones, and adapting quickly to unfamiliar client environments. Supporting the technical aspects of client engagements, including pitches and presentations Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future Representing us and our core values: Transparency, fairness and being daring. Skills/Knowledge You have relevant and recent practical experience in cyber security engineering, architecture, design or technical assurance, and can apply that knowledge credibly in client-facing consulting engagements You have worked in technical client deliveries across a range of cyber security related projects You understand technical controls and business risk You can demonstrate working-level experience in one or more of the following domains: Security Architecture; Security Operations; Identity & Access Management; Cloud, Infrastructure and Platform Security; Network and Connectivity Security; Application Security and DevSecOps; Data Security and Privacy; Governance, Risk & Compliance; You have experience embedding security into agile, DevSecOps and iterative delivery models, including design reviews, security requirements management and pragmatic risk treatment in fast-moving projects You have experience working with security control standards and frameworks e.g. ISO27001, NIST, NCSC guidance and NCSC CAF, JSP 440 or others You have demonstrable continuous personal development, supported by relevant certifications and accreditations You have good interpersonal skills at both the business and technical level You have UK security clearance at SC or above or are eligible and willing to go through clearance You have experience working with security controls within cloud-based infrastructure (e.g Azure, AWS, GCP). This may include design, configuration, or protective monitoring. Knowledge of digital identity and authentication systems Experience applying data classification, handling requirements, data residency and sovereignty considerations to solution design, particularly where sensitive, regulated or operationally critical data is involved Understanding of security risks and controls for AI-enabled systems, including data governance, access control, prompt injection, model misuse, third-party AI services and monitoring of sensitive data exposure Application and governance of fine grained access control and permissions Experience in UK Gov't public sector or defence Location? Hybrid, with 2-3 days working from Daintta office or on client site as required. We believe in supporting our people both professionally and personally. Here's what you can expect when you join us: Time Off: 25 days annual leave, plus bank holidays Up to 5 days annual training leave with a dedicated training budget Up to 3 days annual volunteering leave - give back to the community Competitive maternity, paternity, shared parental leave & compassionate leave Employee Assistance Programme - 24/7 support services £2,000 Flex Cash Allowance, paid pro-rata over the year Discretionary company awards and bonuses, based on performance and company targets Professional Development Up to £1,000 annual training budget (access to additional training and development budget via business case) Up to 5 days annual training leave 1 professional membership paid annually Up to £200 of additional IT budget for new joiners Free breakfast every Tuesday in the London office Fortnightly drinks - in London Regular social events, quizzes, and guest workshops Huckletree perks - including gym and restaurant discounts Employee referral programme Monthly breakfast club in our Cheltenham office Security Information Due to clients' requirements, all applications are strictly subject to security clearance requirements relevant to the role.
Aug 26, 2026
Full time
Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Cyber Security Technical Security Consultant to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a technical Consultant, you will be expected to demonstrate versatility as you work closely with our public sector clients, governmental departments and project teams. You will be expected to help design, document, and build secure networks or systems: solving some of the UK's most exciting cyber security challenges. What's in it for you? You will be joining the company at Daintta "Consultant" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Key Responsibilities Developing, justifying and implementing organisational and system security management strategies that address risk and control requirements, ensuring a UK Gov't Secure by Design approach Selecting, understanding and adapting/adopting appropriate security control frameworks Identifying security risk business and stakeholder security requirements and proposing proportionate assessment, design and implementation of secure systems to meet the requirements Performing threat modelling and risk assessments to develop a holistic picture of threat Ensuring security principles are applied during solution planning, design, test, deployment and operations to reduce risk and ensure compliance, including: Developing or supporting the development of secure solution designs to mitigate the risks posed by new technologies and business practices Supporting third-party and supply chain security assessments, including vendor due diligence, secure procurement, software supply chain risk and ongoing assurance of externally sourced technology Applying identity-led and zero trust security principles, including strong authentication, least privilege, contextual access control and segmentation of services, users and devices Defining and reviewing security assurance activities, including design assurance, verification, validation, vulnerability assessment, penetration testing inputs and interpretation of assurance evidence Developing and communicating corporate and domain information security policy, standards, guidelines and design guardrails Identifying and monitoring environmental and market trends and proactively assessing impact on business strategies, benefits and risks Assessing your client's' needs, understanding how their needs may differ from their wants, and appropriately managing stakeholder relationships Delivering high-quality work to agreed milestones, and adapting quickly to unfamiliar client environments. Supporting the technical aspects of client engagements, including pitches and presentations Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future Representing us and our core values: Transparency, fairness and being daring. Skills/Knowledge You have relevant and recent practical experience in cyber security engineering, architecture, design or technical assurance, and can apply that knowledge credibly in client-facing consulting engagements You have worked in technical client deliveries across a range of cyber security related projects You understand technical controls and business risk You can demonstrate working-level experience in one or more of the following domains: Security Architecture; Security Operations; Identity & Access Management; Cloud, Infrastructure and Platform Security; Network and Connectivity Security; Application Security and DevSecOps; Data Security and Privacy; Governance, Risk & Compliance; You have experience embedding security into agile, DevSecOps and iterative delivery models, including design reviews, security requirements management and pragmatic risk treatment in fast-moving projects You have experience working with security control standards and frameworks e.g. ISO27001, NIST, NCSC guidance and NCSC CAF, JSP 440 or others You have demonstrable continuous personal development, supported by relevant certifications and accreditations You have good interpersonal skills at both the business and technical level You have UK security clearance at SC or above or are eligible and willing to go through clearance You have experience working with security controls within cloud-based infrastructure (e.g Azure, AWS, GCP). This may include design, configuration, or protective monitoring. Knowledge of digital identity and authentication systems Experience applying data classification, handling requirements, data residency and sovereignty considerations to solution design, particularly where sensitive, regulated or operationally critical data is involved Understanding of security risks and controls for AI-enabled systems, including data governance, access control, prompt injection, model misuse, third-party AI services and monitoring of sensitive data exposure Application and governance of fine grained access control and permissions Experience in UK Gov't public sector or defence Location? Hybrid, with 2-3 days working from Daintta office or on client site as required. We believe in supporting our people both professionally and personally. Here's what you can expect when you join us: Time Off: 25 days annual leave, plus bank holidays Up to 5 days annual training leave with a dedicated training budget Up to 3 days annual volunteering leave - give back to the community Competitive maternity, paternity, shared parental leave & compassionate leave Employee Assistance Programme - 24/7 support services £2,000 Flex Cash Allowance, paid pro-rata over the year Discretionary company awards and bonuses, based on performance and company targets Professional Development Up to £1,000 annual training budget (access to additional training and development budget via business case) Up to 5 days annual training leave 1 professional membership paid annually Up to £200 of additional IT budget for new joiners Free breakfast every Tuesday in the London office Fortnightly drinks - in London Regular social events, quizzes, and guest workshops Huckletree perks - including gym and restaurant discounts Employee referral programme Monthly breakfast club in our Cheltenham office Security Information Due to clients' requirements, all applications are strictly subject to security clearance requirements relevant to the role.
Senior Product Manager Senior Product Manager - Supply Chain Data & Digital Twins Mondra is a high-growth tech start-up that is delivering a cutting-edge food system environmental insights platform to accelerate the planet's progress to NetZero carbon emissions. Following a successful Series A fundraising round, we are scaling up rapidly and preparing for significant growth in user numbers. Role Overview We are looking for a Senior Product Manager to lead our supply chain data strategy and drive the development of digital twin capabilities within the Mondra platform. This role is pivotal in unlocking additional value from our existing data while identifying new partnership opportunities and data sources that enhance our supply chain visibility. As a Senior Product Manager, you will be lead data strategist - someone who can intuitively understand complex data relationships, identifying untapped opportunities within existing datasets and identifying emerging needs. You'll work closely with our Science and Engineering teams to continuously improve our digital representations of supply chains, enabling better decision-making across the food system. The ideal candidate will bring exceptional data thinking and analytical capabilities, combined with strong product management skills, to help Mondra become the definitive platform for supply chain intelligence. You'll receive support from the Head of Product while being empowered to drive strategic decisions and own the roadmap for this critical area of our business. Responsibilities Define and own the product strategy for supply chain data capabilities and digital twin development within the Mondra platform Identify opportunities to extract additional value from existing data assets and partnerships, working with stakeholders to prioritize high-impact initiatives Collaborate with potential data partners to understand integration opportunities and define partnership requirements Work closely with the Science team to understand the implications of different data sources and ensure methodological soundness in digital twin models Translate complex supply chain concepts into user-friendly product features that provide actionable insights Define the product roadmap for digital twin capabilities, balancing technical feasibility with customer value Engage with customers and prospects to understand their needs and validate product concepts Work with Engineering teams to ensure data integration architectures support scalable digital twin development Clearly define Epics, Features, and User Stories with well-articulated acceptance criteria for supply chain data features Act as the primary product liaison between internal teams and external data partners Participate in Agile ceremonies and guide development teams toward successful delivery of supply chain features Skills 5+ years Product Management experience with a focus on data-intensive products, data platforms or complex data integration challenges. Proven experience working with large-scale, multi-dimensional datasets and demonstrated ability to synthesize actionable insights from disparate data sources Experience evaluating and structuring data partnerships, including understanding of data licensing, integration models, and partnership frameworks Background in supply chain management, logistics, or related field with understanding of food/FMCG supply chains preferred Familiarity with digital twin concepts and their application in supply chain contexts Experience with PLM (Product Lifecycle Management) systems is highly desirable Solid grasp of Agile principles with experience delivering using Scrum/Kanban methodologies Excellent communication skills, able to translate technical concepts for business stakeholders Experience working with APIs and data integration challenges Strong interpersonal skills with experience managing relationships with external partners Basic understanding of environmental impact assessment methodologies (LCA knowledge beneficial) Personal attributes and qualities Strategic thinker who can balance short-term needs with long-term vision Self-starter who can work independently while collaborating effectively across teams Detail-oriented with ability to understand technical nuances while maintaining business focus Proactive approach to identifying opportunities and solving complex problems Strong interest in sustainability and making a positive environmental impact Adaptable and eager to learn, particularly around environmental science methodologies Technical skills Microsoft Office with advanced Excel and PowerPoint proficiency Azure DevOps for agile backlog and task management Familiarity with data visualization tools and techniques Understanding of API architectures and data integration patterns Knowledge of supply chain management software and systems
Aug 25, 2026
Full time
Senior Product Manager Senior Product Manager - Supply Chain Data & Digital Twins Mondra is a high-growth tech start-up that is delivering a cutting-edge food system environmental insights platform to accelerate the planet's progress to NetZero carbon emissions. Following a successful Series A fundraising round, we are scaling up rapidly and preparing for significant growth in user numbers. Role Overview We are looking for a Senior Product Manager to lead our supply chain data strategy and drive the development of digital twin capabilities within the Mondra platform. This role is pivotal in unlocking additional value from our existing data while identifying new partnership opportunities and data sources that enhance our supply chain visibility. As a Senior Product Manager, you will be lead data strategist - someone who can intuitively understand complex data relationships, identifying untapped opportunities within existing datasets and identifying emerging needs. You'll work closely with our Science and Engineering teams to continuously improve our digital representations of supply chains, enabling better decision-making across the food system. The ideal candidate will bring exceptional data thinking and analytical capabilities, combined with strong product management skills, to help Mondra become the definitive platform for supply chain intelligence. You'll receive support from the Head of Product while being empowered to drive strategic decisions and own the roadmap for this critical area of our business. Responsibilities Define and own the product strategy for supply chain data capabilities and digital twin development within the Mondra platform Identify opportunities to extract additional value from existing data assets and partnerships, working with stakeholders to prioritize high-impact initiatives Collaborate with potential data partners to understand integration opportunities and define partnership requirements Work closely with the Science team to understand the implications of different data sources and ensure methodological soundness in digital twin models Translate complex supply chain concepts into user-friendly product features that provide actionable insights Define the product roadmap for digital twin capabilities, balancing technical feasibility with customer value Engage with customers and prospects to understand their needs and validate product concepts Work with Engineering teams to ensure data integration architectures support scalable digital twin development Clearly define Epics, Features, and User Stories with well-articulated acceptance criteria for supply chain data features Act as the primary product liaison between internal teams and external data partners Participate in Agile ceremonies and guide development teams toward successful delivery of supply chain features Skills 5+ years Product Management experience with a focus on data-intensive products, data platforms or complex data integration challenges. Proven experience working with large-scale, multi-dimensional datasets and demonstrated ability to synthesize actionable insights from disparate data sources Experience evaluating and structuring data partnerships, including understanding of data licensing, integration models, and partnership frameworks Background in supply chain management, logistics, or related field with understanding of food/FMCG supply chains preferred Familiarity with digital twin concepts and their application in supply chain contexts Experience with PLM (Product Lifecycle Management) systems is highly desirable Solid grasp of Agile principles with experience delivering using Scrum/Kanban methodologies Excellent communication skills, able to translate technical concepts for business stakeholders Experience working with APIs and data integration challenges Strong interpersonal skills with experience managing relationships with external partners Basic understanding of environmental impact assessment methodologies (LCA knowledge beneficial) Personal attributes and qualities Strategic thinker who can balance short-term needs with long-term vision Self-starter who can work independently while collaborating effectively across teams Detail-oriented with ability to understand technical nuances while maintaining business focus Proactive approach to identifying opportunities and solving complex problems Strong interest in sustainability and making a positive environmental impact Adaptable and eager to learn, particularly around environmental science methodologies Technical skills Microsoft Office with advanced Excel and PowerPoint proficiency Azure DevOps for agile backlog and task management Familiarity with data visualization tools and techniques Understanding of API architectures and data integration patterns Knowledge of supply chain management software and systems
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Aug 25, 2026
Full time
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
JOB DESCRIPTION Are you ready to shape the future of banking with cutting edge AI and machine learning? At JPMorganChase, you'll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. Job Responsibilities Lead the development, implementation, and end to end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment. Ensure production grade AI/ML applications and tools are built, maintained, and optimized. Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment. Champion documentation of methodologies, results, and best practices for knowledge sharing. Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites. Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs. Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large scale production environments. Experience with MLOps practices and tools for managing the machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem solving skills and ability to work independently and as a leader within cross functional teams. Strong communication skills for both technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs.
Aug 25, 2026
Full time
JOB DESCRIPTION Are you ready to shape the future of banking with cutting edge AI and machine learning? At JPMorganChase, you'll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. Job Responsibilities Lead the development, implementation, and end to end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment. Ensure production grade AI/ML applications and tools are built, maintained, and optimized. Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment. Champion documentation of methodologies, results, and best practices for knowledge sharing. Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites. Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs. Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large scale production environments. Experience with MLOps practices and tools for managing the machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem solving skills and ability to work independently and as a leader within cross functional teams. Strong communication skills for both technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs.
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Aug 25, 2026
Full time
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Opus Recruitment Solutions Ltd
Shiremoor, Tyne And Wear
Solution Architect (Contract) Location: Hybrid 3 days onsite/week (Sheffield, Leeds, Manchester, Manchester, Blackpool, Birmingham, Newcastle) Contract: 6 Months Opportunity We are supporting a major UK Government programme seeking an experienced Solution Architect to lead the design and delivery of enterprise-scale solutions across business-critical functions including People, Finance, Commercial and Estates. This is an excellent opportunity to join a high-profile transformation programme where you will shape technical strategy, design modern cloud-based solutions, and work closely with senior stakeholders, engineering teams, and delivery partners. Key Responsibilities Design end-to-end technical solutions that align with business requirements and enterprise architecture standards. Lead architecture design for large-scale enterprise systems and transformation initiatives. Evaluate, select, and implement SaaS products and services. Design and govern solutions using microservices, APIs, event-driven architectures, and file-based integrations. Produce architecture artefacts, solution designs, and technical documentation for a range of audiences. Work closely with engineering and delivery teams to ensure successful implementation. Drive the adoption of architecture best practices, patterns, and standards. Identify and reduce technical debt while improving long-term platform sustainability. Develop technical roadmaps and present solutions at architecture governance forums. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Collaborate with business and technology leaders to deliver value-for-money solutions. Essential Experience Proven experience working as a Solution Architect within large and complex organisations. Extensive experience selecting and implementing Software as a Service (SaaS) solutions. Strong expertise in: Microservices Architecture API Design and Integration Event-Driven Architecture File-Based Data Transfers and Integration Patterns Experience designing solutions within public cloud environments (AWS, Azure and/or GCP). Strong understanding of enterprise architecture principles and governance. Experience creating architecture diagrams, solution views, and technical documentation. Demonstrable experience leading architecture on enterprise-scale programmes. Strong stakeholder management skills with the ability to influence senior leadership. Excellent communication and presentation skills. Desirable Experience Experience delivering solutions across People (HR), Finance, Commercial, or Estates domains. Experience working within Government or highly regulated environments. Familiarity with architecture frameworks and governance processes.
Aug 25, 2026
Full time
Solution Architect (Contract) Location: Hybrid 3 days onsite/week (Sheffield, Leeds, Manchester, Manchester, Blackpool, Birmingham, Newcastle) Contract: 6 Months Opportunity We are supporting a major UK Government programme seeking an experienced Solution Architect to lead the design and delivery of enterprise-scale solutions across business-critical functions including People, Finance, Commercial and Estates. This is an excellent opportunity to join a high-profile transformation programme where you will shape technical strategy, design modern cloud-based solutions, and work closely with senior stakeholders, engineering teams, and delivery partners. Key Responsibilities Design end-to-end technical solutions that align with business requirements and enterprise architecture standards. Lead architecture design for large-scale enterprise systems and transformation initiatives. Evaluate, select, and implement SaaS products and services. Design and govern solutions using microservices, APIs, event-driven architectures, and file-based integrations. Produce architecture artefacts, solution designs, and technical documentation for a range of audiences. Work closely with engineering and delivery teams to ensure successful implementation. Drive the adoption of architecture best practices, patterns, and standards. Identify and reduce technical debt while improving long-term platform sustainability. Develop technical roadmaps and present solutions at architecture governance forums. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Collaborate with business and technology leaders to deliver value-for-money solutions. Essential Experience Proven experience working as a Solution Architect within large and complex organisations. Extensive experience selecting and implementing Software as a Service (SaaS) solutions. Strong expertise in: Microservices Architecture API Design and Integration Event-Driven Architecture File-Based Data Transfers and Integration Patterns Experience designing solutions within public cloud environments (AWS, Azure and/or GCP). Strong understanding of enterprise architecture principles and governance. Experience creating architecture diagrams, solution views, and technical documentation. Demonstrable experience leading architecture on enterprise-scale programmes. Strong stakeholder management skills with the ability to influence senior leadership. Excellent communication and presentation skills. Desirable Experience Experience delivering solutions across People (HR), Finance, Commercial, or Estates domains. Experience working within Government or highly regulated environments. Familiarity with architecture frameworks and governance processes.
Data Engineer/Developer Contract until the end of the year - Inside IR35 - up to £490 per day London based - hybrid working - 2-3 days a week onsite Asset Management sector - previous experience required Overview We are seeking a hands-on Software/Data Engineer to join a modern data platform team delivering analytics, reporting and AI-enabled solutions. This role is primarily focused on Snowflake, Azure, Python and CI/CD, with some exposure to .NET/C# and React/TypeScript environments. The successful candidate will build and support scalable data solutions, contribute to cloud-based platform development and help drive engineering best practice across the team. Responsibilities Develop and maintain Snowflake data models, transformations and pipelines. Build and enhance dbt models, testing frameworks and deployment processes. Develop Python utilities and services for data integration and automation. Support Azure Data Factory, Azure Functions and CI/CD pipelines. Use Azure DevOps or GitHub for source control, code reviews and deployments. Troubleshoot production issues and improve platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation and data processing. Azure DevOps or GitHub. Experience using AI development tools such as GitHub Copilot or Microsoft Copilot. Financial Services, Asset Management or Wealth Management experience .NET/C# React/Typescript Desirable Skills Power BI Advanced Snowflake capabilities (Snowpipe, Streams, Tasks) Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Aug 25, 2026
Full time
Data Engineer/Developer Contract until the end of the year - Inside IR35 - up to £490 per day London based - hybrid working - 2-3 days a week onsite Asset Management sector - previous experience required Overview We are seeking a hands-on Software/Data Engineer to join a modern data platform team delivering analytics, reporting and AI-enabled solutions. This role is primarily focused on Snowflake, Azure, Python and CI/CD, with some exposure to .NET/C# and React/TypeScript environments. The successful candidate will build and support scalable data solutions, contribute to cloud-based platform development and help drive engineering best practice across the team. Responsibilities Develop and maintain Snowflake data models, transformations and pipelines. Build and enhance dbt models, testing frameworks and deployment processes. Develop Python utilities and services for data integration and automation. Support Azure Data Factory, Azure Functions and CI/CD pipelines. Use Azure DevOps or GitHub for source control, code reviews and deployments. Troubleshoot production issues and improve platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation and data processing. Azure DevOps or GitHub. Experience using AI development tools such as GitHub Copilot or Microsoft Copilot. Financial Services, Asset Management or Wealth Management experience .NET/C# React/Typescript Desirable Skills Power BI Advanced Snowflake capabilities (Snowpipe, Streams, Tasks) Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
United Kingdom - Hampshire - Farnborough Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub . Description and Requirements At Lenovo Solutions & Services Group, we are accelerating a company-wide AI transformation by embedding technical talent directly within business functions. As a Forward Deployed Engineering Director, you will lead a team of Forward Deployed Engineers (FDEs) who partner with business leaders to identify high-value opportunities, rapidly build AI-powered solutions, and drive measurable business outcomes. In this role, you will combine strong technical leadership, business partnership, and people development capabilities. You will help define how the FDE organization operates, establish scalable delivery practices, and ensure teams consistently deliver solutions that create meaningful impact for users and stakeholders. What you'll do Lead and develop a team of Forward Deployed Engineers embedded across business functions, supporting delivery, growth, and performance excellence. Partner with Domain Leaders and subject matter experts to understand business challenges, map workflows, and identify high-value AI opportunities. Guide teams in designing and delivering AI solutions using Microsoft AI and productivity platforms, including Copilot Studio, Azure OpenAI, Microsoft 365, Power Platform, retrieval-augmented generation (RAG) solutions, agent-based workflows, and automation technologies. Establish repeatable delivery methodologies, engineering standards, playbooks, governance practices, and quality expectations for the FDE organization. Enable rapid prototyping, short sprint execution, user testing, and continuous iteration while maintaining strong engineering discipline and solution quality. Collaborate with business stakeholders, platform teams, and data organizations to remove delivery blockers and accelerate adoption. Communicate progress, risks, adoption outcomes to technical and non-technical executive audiences. What you'll need 15+ years of experience in software engineering, solutions engineering, applied AI, or a closely related technical leadership discipline. Experience leading and developing high-performing technical teams delivering AI, automation, or intelligent workflow solutions in enterprise environments. Strong engineering judgment with the ability to review architectures, evaluate solution approaches, troubleshoot complex challenges, and guide technical decision-making. Experience working with business stakeholders to translate operational challenges into scalable technology solutions. Proven ability to define operating models, delivery frameworks, technical standards, and talent development practices for growing engineering organizations. Strong communication and stakeholder management skills, with the ability to explain complex technical concepts in clear and practical language. Diversity & Inclusion Lenovo is proud to be recognized as a Best Place to Work for Disability Inclusion and is committed to creating an inclusive workplace where everyone can thrive. We welcome applications from individuals with diverse backgrounds, experiences, and perspectives. What Lenovo Can Offer You Private medical cover Life insurance and income protection Holiday purchase options Cycle to Work scheme Learning and development opportunities Employee Assistance Program (EAP) Product discounts on Lenovo and Motorola devices Lifestyle and wellbeing discounts Positive work-life balance and flexible working options We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations: United Kingdom - Hampshire - Farnborough AI PROCESSING NOTICE We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question. If you require an accommodation to complete this application, please
Aug 25, 2026
Full time
United Kingdom - Hampshire - Farnborough Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub . Description and Requirements At Lenovo Solutions & Services Group, we are accelerating a company-wide AI transformation by embedding technical talent directly within business functions. As a Forward Deployed Engineering Director, you will lead a team of Forward Deployed Engineers (FDEs) who partner with business leaders to identify high-value opportunities, rapidly build AI-powered solutions, and drive measurable business outcomes. In this role, you will combine strong technical leadership, business partnership, and people development capabilities. You will help define how the FDE organization operates, establish scalable delivery practices, and ensure teams consistently deliver solutions that create meaningful impact for users and stakeholders. What you'll do Lead and develop a team of Forward Deployed Engineers embedded across business functions, supporting delivery, growth, and performance excellence. Partner with Domain Leaders and subject matter experts to understand business challenges, map workflows, and identify high-value AI opportunities. Guide teams in designing and delivering AI solutions using Microsoft AI and productivity platforms, including Copilot Studio, Azure OpenAI, Microsoft 365, Power Platform, retrieval-augmented generation (RAG) solutions, agent-based workflows, and automation technologies. Establish repeatable delivery methodologies, engineering standards, playbooks, governance practices, and quality expectations for the FDE organization. Enable rapid prototyping, short sprint execution, user testing, and continuous iteration while maintaining strong engineering discipline and solution quality. Collaborate with business stakeholders, platform teams, and data organizations to remove delivery blockers and accelerate adoption. Communicate progress, risks, adoption outcomes to technical and non-technical executive audiences. What you'll need 15+ years of experience in software engineering, solutions engineering, applied AI, or a closely related technical leadership discipline. Experience leading and developing high-performing technical teams delivering AI, automation, or intelligent workflow solutions in enterprise environments. Strong engineering judgment with the ability to review architectures, evaluate solution approaches, troubleshoot complex challenges, and guide technical decision-making. Experience working with business stakeholders to translate operational challenges into scalable technology solutions. Proven ability to define operating models, delivery frameworks, technical standards, and talent development practices for growing engineering organizations. Strong communication and stakeholder management skills, with the ability to explain complex technical concepts in clear and practical language. Diversity & Inclusion Lenovo is proud to be recognized as a Best Place to Work for Disability Inclusion and is committed to creating an inclusive workplace where everyone can thrive. We welcome applications from individuals with diverse backgrounds, experiences, and perspectives. What Lenovo Can Offer You Private medical cover Life insurance and income protection Holiday purchase options Cycle to Work scheme Learning and development opportunities Employee Assistance Program (EAP) Product discounts on Lenovo and Motorola devices Lifestyle and wellbeing discounts Positive work-life balance and flexible working options We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations: United Kingdom - Hampshire - Farnborough AI PROCESSING NOTICE We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question. If you require an accommodation to complete this application, please
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary: NetApp is uniquely positioned to help organizations unlock the value of AI through the data they already manage. With a significant share of the world's unstructured data residing on NetApp, we help enterprises and public sector organizations build and scale AI initiatives across training, inferencing, data pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating AI-related business growth across EMEA/LATAM. This is a highly strategic business development role focused on identifying opportunities, engaging customers and partners, and converting AI interest into measurable pipeline and bookings. Success is measured by pipeline creation, opportunity progression, and revenue impact. Key Responsibilities: Drive AI Pipeline & Growth Lead AI pipeline generation across EMEA/LATAM, creating qualified opportunities and driving business growth. Identify, prioritize, and engage target accounts using market insights, AI adoption trends, and installed-base opportunities. Partner with Sales, Marketing, and strategic partners to execute demand-generation activities that create pipeline and accelerate bookings. Build relationships with senior customer stakeholders and help shape AI strategies and opportunities. Expand AI adoption within existing customers and support acquisition of net-new AI-focused organizations. Develop AI Go-to-Market Strategy Develop and refine AI value propositions covering AI infrastructure, data pipelines, sovereign AI, inferencing, and emerging AI workloads. Build repeatable go-to-market programs including account targeting, messaging, competitive positioning, and business value frameworks. Measure and optimize program performance based on pipeline generation, opportunity progression, and business impact. Enable Sales & Partners Equip Client Executives, Systems Engineers, and partners with the tools and knowledge needed to identify and advance AI opportunities. Deliver enablement, account planning support, and strategic guidance to increase AI opportunity creation. Support key opportunities through executive engagement, business case development, and competitive strategy. Build the AI Ecosystem Develop relationships with hyperscalers, GPU vendors, systems integrators, AI software providers, and cloud partners. Drive joint go-to-market initiatives and partner-led pipeline generation. Success Measures Generate consistent, high-quality AI pipeline across EMEA/LATAM. Increase AI-related bookings and improve conversion rates. Grow AI adoption within existing customers and secure new AI-focused accounts. Increase partner-sourced opportunities and ecosystem engagement. Drive adoption of AI sales plays across the wider Sales and technical organizations. Job Requirements: Required 8+ years of experience in Business Development, Strategic Sales, Go-to-Market, AI, Cloud, or Enterprise Technology roles. Proven track record of generating pipeline and influencing business growth within emerging or high-growth technology markets. Experience creating target account strategies and executing measurable outbound demand-generation programs. Working knowledge of AI infrastructure, including GPU environments, model training and inferencing, data pipelines, RAG architectures, vector databases, and AI platforms. Ability to translate technical capabilities into business outcomes and executive-level value propositions. Strong stakeholder management, collaboration, and influencing skills across matrixed organizations. Fluent English and willingness to travel across EMEA/LATAM as required. Preferred Experience working with hyperscalers, AI ecosystem partners, systems integrators, or channel-led sales models. Understanding of AI regulation, data sovereignty, and compliance considerations across Europe and international markets. Experience building new GTM motions, market development programs, and strategic growth initiatives from the ground up. Existing relationships within the AI ecosystem, including AI startups, sovereign AI initiatives, cloud providers, GPU vendors, or AI-focused partners. Additional European language skills are advantageous. Why Join NetApp? This is an opportunity to help shape NetApp's AI growth strategy across EMEA and LATAM. You will work at the intersection of AI, data, cloud, and infrastructure, enabling organizations to accelerate AI adoption while helping build a scalable, repeatable growth engine for one of the industry's most important technology markets. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Aug 25, 2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary: NetApp is uniquely positioned to help organizations unlock the value of AI through the data they already manage. With a significant share of the world's unstructured data residing on NetApp, we help enterprises and public sector organizations build and scale AI initiatives across training, inferencing, data pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating AI-related business growth across EMEA/LATAM. This is a highly strategic business development role focused on identifying opportunities, engaging customers and partners, and converting AI interest into measurable pipeline and bookings. Success is measured by pipeline creation, opportunity progression, and revenue impact. Key Responsibilities: Drive AI Pipeline & Growth Lead AI pipeline generation across EMEA/LATAM, creating qualified opportunities and driving business growth. Identify, prioritize, and engage target accounts using market insights, AI adoption trends, and installed-base opportunities. Partner with Sales, Marketing, and strategic partners to execute demand-generation activities that create pipeline and accelerate bookings. Build relationships with senior customer stakeholders and help shape AI strategies and opportunities. Expand AI adoption within existing customers and support acquisition of net-new AI-focused organizations. Develop AI Go-to-Market Strategy Develop and refine AI value propositions covering AI infrastructure, data pipelines, sovereign AI, inferencing, and emerging AI workloads. Build repeatable go-to-market programs including account targeting, messaging, competitive positioning, and business value frameworks. Measure and optimize program performance based on pipeline generation, opportunity progression, and business impact. Enable Sales & Partners Equip Client Executives, Systems Engineers, and partners with the tools and knowledge needed to identify and advance AI opportunities. Deliver enablement, account planning support, and strategic guidance to increase AI opportunity creation. Support key opportunities through executive engagement, business case development, and competitive strategy. Build the AI Ecosystem Develop relationships with hyperscalers, GPU vendors, systems integrators, AI software providers, and cloud partners. Drive joint go-to-market initiatives and partner-led pipeline generation. Success Measures Generate consistent, high-quality AI pipeline across EMEA/LATAM. Increase AI-related bookings and improve conversion rates. Grow AI adoption within existing customers and secure new AI-focused accounts. Increase partner-sourced opportunities and ecosystem engagement. Drive adoption of AI sales plays across the wider Sales and technical organizations. Job Requirements: Required 8+ years of experience in Business Development, Strategic Sales, Go-to-Market, AI, Cloud, or Enterprise Technology roles. Proven track record of generating pipeline and influencing business growth within emerging or high-growth technology markets. Experience creating target account strategies and executing measurable outbound demand-generation programs. Working knowledge of AI infrastructure, including GPU environments, model training and inferencing, data pipelines, RAG architectures, vector databases, and AI platforms. Ability to translate technical capabilities into business outcomes and executive-level value propositions. Strong stakeholder management, collaboration, and influencing skills across matrixed organizations. Fluent English and willingness to travel across EMEA/LATAM as required. Preferred Experience working with hyperscalers, AI ecosystem partners, systems integrators, or channel-led sales models. Understanding of AI regulation, data sovereignty, and compliance considerations across Europe and international markets. Experience building new GTM motions, market development programs, and strategic growth initiatives from the ground up. Existing relationships within the AI ecosystem, including AI startups, sovereign AI initiatives, cloud providers, GPU vendors, or AI-focused partners. Additional European language skills are advantageous. Why Join NetApp? This is an opportunity to help shape NetApp's AI growth strategy across EMEA and LATAM. You will work at the intersection of AI, data, cloud, and infrastructure, enabling organizations to accelerate AI adoption while helping build a scalable, repeatable growth engine for one of the industry's most important technology markets. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Application Specialist / Integration Engineer - SQL, MS Fabric / Azure Integration Services, SharePoint, M365, Power Platforms, Logic Apps, Application Integration, Product Ownership, Roadmap development. Permanent, London/Hybrid. £80k - £90k + Bonus + Benefits Global Law firm seeks an Application Specialist / Integration Engineer to leverage core MS Azure and MS Fabric (data services) to the comme click apply for full job details
Aug 25, 2026
Full time
Application Specialist / Integration Engineer - SQL, MS Fabric / Azure Integration Services, SharePoint, M365, Power Platforms, Logic Apps, Application Integration, Product Ownership, Roadmap development. Permanent, London/Hybrid. £80k - £90k + Bonus + Benefits Global Law firm seeks an Application Specialist / Integration Engineer to leverage core MS Azure and MS Fabric (data services) to the comme click apply for full job details
We are looking for an engineer to play a key role in providing technical, engineering support to Meta's Advertising partners, Customers and clients globally. You will have the opportunity to work together with a global team of Business Support Engineers who are expert in Meta's Adtech to provide proactive and reactive support for partner issues and integrations while partnering with our broad cross functional teams to ensure a high quality for our products and satisfactory experience for our partners and customers. We work directly with Platform and Infrastructure teams to investigate and resolve issues reported by our partners, to properly assess and agree on actions to be taken for necessary fixes and continuous improvements in our products and deployments.As a Business Support Engineer working on Ads at Meta, you will primarily support on Meta's Ads Products but also have the opportunity to work cross functionally in several of our key business areas across Business Messaging, Telecommunications and combine your experience with customer service skills with a product focus to ensure that key insights are communicated to our product teams. We are looking for people who have subject-matter knowledge in managing and maintaining integrations with 3rd-party services, who help foster developer/business relationships, who demonstrate critical thinking and blending systems design with business needs, and who have a desire to improve the support experience of our customers.As a Business Support Engineer, you will understand industry trends, partner solutions/integrations and their implications to our product roadmap. You will work closely with other regional offices and partnership teams to support a broad range of partners across the globe to integrate Meta's Business Products into their offering.Business Support Engineer Responsibilities:Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfactionTroubleshoot large-scale distributed systems and partner integrations, championing operational excellence and engineering excellenceLeverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindsetBuild, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to productionDevelop performance monitoring systems for partner integrations to ensure high availabilityleverage metrics to proactively identify issues and drive improvements across teamsProvide 24/7 oncall support coverage via rotation schedule (including weekends)Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvementCreate clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externallyDrive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coaching and mentoring peers on technical troubleshooting and project executionMinimum Qualifications:3+ years of experience as a software engineer or site reliability engineerProven experience as a support engineer, service engineer, or similarBachelor's degree in Computer Science, Engineering, or related technical field experienceExperience in developing, deploying, and operating software in one or more public cloud infrastructures (Azure, GCP, AWS, etc.)Proven experience in API development on cloud-based infrastructuresProficiency in full-stack development with experience in the full web stack, SOAP, and REST API technologies and architecturesExperience in communicating with technical and business audiences and creating technical documentationSolid understanding of IT infrastructures and network protocols on different layers, with demonstrable knowledge of different data exchange formats and protocolsExperience in assessing, analyzing, and resolving operational issues using dataExperience managing multiple concurrent projects and driving initiatives in a cross-functional environmentPreferred Qualifications:Experience working across a global team, solving problems, and designing business operations from scratchExperience in partner-facing or customer-centric engineering rolesProficiency in PHP/Hack and JavaScript/ReactDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience transforming data, model selection/training/optimization, and deployment at scaleExperience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience in the configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems. Experience with large-scale enterprise system developmentDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Aug 25, 2026
Full time
We are looking for an engineer to play a key role in providing technical, engineering support to Meta's Advertising partners, Customers and clients globally. You will have the opportunity to work together with a global team of Business Support Engineers who are expert in Meta's Adtech to provide proactive and reactive support for partner issues and integrations while partnering with our broad cross functional teams to ensure a high quality for our products and satisfactory experience for our partners and customers. We work directly with Platform and Infrastructure teams to investigate and resolve issues reported by our partners, to properly assess and agree on actions to be taken for necessary fixes and continuous improvements in our products and deployments.As a Business Support Engineer working on Ads at Meta, you will primarily support on Meta's Ads Products but also have the opportunity to work cross functionally in several of our key business areas across Business Messaging, Telecommunications and combine your experience with customer service skills with a product focus to ensure that key insights are communicated to our product teams. We are looking for people who have subject-matter knowledge in managing and maintaining integrations with 3rd-party services, who help foster developer/business relationships, who demonstrate critical thinking and blending systems design with business needs, and who have a desire to improve the support experience of our customers.As a Business Support Engineer, you will understand industry trends, partner solutions/integrations and their implications to our product roadmap. You will work closely with other regional offices and partnership teams to support a broad range of partners across the globe to integrate Meta's Business Products into their offering.Business Support Engineer Responsibilities:Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfactionTroubleshoot large-scale distributed systems and partner integrations, championing operational excellence and engineering excellenceLeverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindsetBuild, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to productionDevelop performance monitoring systems for partner integrations to ensure high availabilityleverage metrics to proactively identify issues and drive improvements across teamsProvide 24/7 oncall support coverage via rotation schedule (including weekends)Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvementCreate clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externallyDrive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coaching and mentoring peers on technical troubleshooting and project executionMinimum Qualifications:3+ years of experience as a software engineer or site reliability engineerProven experience as a support engineer, service engineer, or similarBachelor's degree in Computer Science, Engineering, or related technical field experienceExperience in developing, deploying, and operating software in one or more public cloud infrastructures (Azure, GCP, AWS, etc.)Proven experience in API development on cloud-based infrastructuresProficiency in full-stack development with experience in the full web stack, SOAP, and REST API technologies and architecturesExperience in communicating with technical and business audiences and creating technical documentationSolid understanding of IT infrastructures and network protocols on different layers, with demonstrable knowledge of different data exchange formats and protocolsExperience in assessing, analyzing, and resolving operational issues using dataExperience managing multiple concurrent projects and driving initiatives in a cross-functional environmentPreferred Qualifications:Experience working across a global team, solving problems, and designing business operations from scratchExperience in partner-facing or customer-centric engineering rolesProficiency in PHP/Hack and JavaScript/ReactDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience transforming data, model selection/training/optimization, and deployment at scaleExperience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience in the configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems. Experience with large-scale enterprise system developmentDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale. Role: Senior Support Specialist (Enterprise Agentic AI) Company: Ema Unlimited Inc. Location: London Employment Type: Full-time/Remote 1. About Ema (Why Ema) Ema is building the world's first Universal AI Employee - a production-grade agentic AI platform that automates real enterprise workflows across HR, IT, Finance, and Operations. Ema's customers do not run demos. They replace mission-critical, manual business processes with agentic AI systems that operate across multiple SaaS tools, APIs, and human-in-the-loop workflows. In this world, support is not reactive. Support is production reliability, trust preservation, and system learning. At Ema, Senior Technical Support Specialists are operators of live AI systems, not ticket handlers. 2. Role Overview The Senior Support Engineer owns the health, reliability, and trustworthiness of Ema's deployed agentic AI systems in production. This role sits at the intersection of: AI behavior Workflow orchestration Enterprise integrations Customer trust Engineering feedback loops This is: Not L1 / call-center support, Not a "just elevate to engineering" role, Not reactive firefighting only This is: A senior technical escalation role, A production debugging and RCA role, A partner to Engineering, Product, and Implementation, A role with real authority during incidents 3. Impact of the Role Impact at Ema You are the last line of defense between a production issue and customer trust erosion You prevent small failures from turning into account-level crises You ensure learnings from incidents improve the product and delivery systemically Impact on Customers Customers trust Ema because issues are handled competently and transparently AI failures are explained, mitigated, and prevented - not hand-waved Production stability improves over time, not degrades Impact on Your Career You gain rare experience operating agentic AI systems in production You build deep expertise across AI, integrations, and workflows You can grow into Reliability Engineering, Implementation Leadership, or Product-facing roles 4. Core Problems You Will Solve Diagnosing failures in multi-agent AI workflows Deeply understanding Ema's platform and providing workarounds/alternate approaches to customers facing issues Debugging issues spanning: AI behavior (false positives / negatives) Workflow logic Integrations (HRIS, ITSM, IAM, Finance) Data quality Platform configuration Handling Sev-1 / Sev-2 customer specific incidents calmly under customer pressure Help Engineering & Product teams Prevent repeated incidents through disciplined RCA Converting noisy customer complaints into high-signal engineering feedback 5. Jobs To Be Done 5.1 Production Issue Ownership Own customer-reported issues from intake to resolution adhering strictly to SLAs Take responsibility for diagnosis, coordination, and closure; Importantly, provide workarounds to customers to unblock them while engineering fix is made Ensure no issue is "lost" between teams Act as technical owner even when multiple teams are involved 5.2 Debugging, Diagnosis & Sev 1/2 Issue Resolution Debug agentic workflows end-to-end Trace failures across agents, tools, integrations, and humans-in-the-loop Identify whether issues are caused by: Model behavior Prompt / policy logic Workflow orchestration Integration constraints Customer configuration Provide clear, actionable root cause summaries Resolve Sev 1 / Sev 2 Client issues; Escalate to the right team to help solve and close the issue. Keep customer communication calm, factual, and confidence-building 5.4 Customer Communication & Trust Communicate during incidents without speculation or panic Explain AI failures in a way customers can understand Set realistic recovery timelines Rebuild trust post-incident through transparency and follow-through 5.6 Feedback Loops to Engineering & Product Write high-signal bug reports and incident summaries Advocate for fixes based on customer impact, not noise Help Product understand real production behavior Ensure support insights influence roadmap and quality improvement 5.7 Support Operations & Excellence Improve runbooks, playbooks, and diagnostics Improve on-call hygiene and escalation clarity Mentor junior support engineers Raise the overall support bar at Ema 6. Traits We're Looking For Technical & Diagnostic Strength Excellent debugging instincts Comfortable operating in ambiguous systems Able to isolate root cause across layers Ownership & Reliability Mindset Issues do not bounce - they get owned Calm during incidents Bias toward permanent fixes Judgment & Communication Knows when to escape and when not to Can say "we don't know yet" credibly Communicates clearly with both engineers and customers Cultural Fit Low ego, high accountability Truth-seeking over blame Respects both customer urgency and engineering quality 7. Required Qualifications 6-9+ years in senior technical support, reliability, or production engineering roles Experience supporting enterprise SaaS platforms in production Strong understanding of: APIs and integrations Distributed systems Logs, traces, and diagnostics Experience handling escalations and incidents Customer-facing experience with senior stakeholders 8. Preferred Background Support or reliability roles in AI / automation platforms Experience with workflow orchestration or agentic systems Familiarity with AWS / GCP / Azure Background in high-availability, 24 7 systems Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.
Aug 25, 2026
Full time
About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale. Role: Senior Support Specialist (Enterprise Agentic AI) Company: Ema Unlimited Inc. Location: London Employment Type: Full-time/Remote 1. About Ema (Why Ema) Ema is building the world's first Universal AI Employee - a production-grade agentic AI platform that automates real enterprise workflows across HR, IT, Finance, and Operations. Ema's customers do not run demos. They replace mission-critical, manual business processes with agentic AI systems that operate across multiple SaaS tools, APIs, and human-in-the-loop workflows. In this world, support is not reactive. Support is production reliability, trust preservation, and system learning. At Ema, Senior Technical Support Specialists are operators of live AI systems, not ticket handlers. 2. Role Overview The Senior Support Engineer owns the health, reliability, and trustworthiness of Ema's deployed agentic AI systems in production. This role sits at the intersection of: AI behavior Workflow orchestration Enterprise integrations Customer trust Engineering feedback loops This is: Not L1 / call-center support, Not a "just elevate to engineering" role, Not reactive firefighting only This is: A senior technical escalation role, A production debugging and RCA role, A partner to Engineering, Product, and Implementation, A role with real authority during incidents 3. Impact of the Role Impact at Ema You are the last line of defense between a production issue and customer trust erosion You prevent small failures from turning into account-level crises You ensure learnings from incidents improve the product and delivery systemically Impact on Customers Customers trust Ema because issues are handled competently and transparently AI failures are explained, mitigated, and prevented - not hand-waved Production stability improves over time, not degrades Impact on Your Career You gain rare experience operating agentic AI systems in production You build deep expertise across AI, integrations, and workflows You can grow into Reliability Engineering, Implementation Leadership, or Product-facing roles 4. Core Problems You Will Solve Diagnosing failures in multi-agent AI workflows Deeply understanding Ema's platform and providing workarounds/alternate approaches to customers facing issues Debugging issues spanning: AI behavior (false positives / negatives) Workflow logic Integrations (HRIS, ITSM, IAM, Finance) Data quality Platform configuration Handling Sev-1 / Sev-2 customer specific incidents calmly under customer pressure Help Engineering & Product teams Prevent repeated incidents through disciplined RCA Converting noisy customer complaints into high-signal engineering feedback 5. Jobs To Be Done 5.1 Production Issue Ownership Own customer-reported issues from intake to resolution adhering strictly to SLAs Take responsibility for diagnosis, coordination, and closure; Importantly, provide workarounds to customers to unblock them while engineering fix is made Ensure no issue is "lost" between teams Act as technical owner even when multiple teams are involved 5.2 Debugging, Diagnosis & Sev 1/2 Issue Resolution Debug agentic workflows end-to-end Trace failures across agents, tools, integrations, and humans-in-the-loop Identify whether issues are caused by: Model behavior Prompt / policy logic Workflow orchestration Integration constraints Customer configuration Provide clear, actionable root cause summaries Resolve Sev 1 / Sev 2 Client issues; Escalate to the right team to help solve and close the issue. Keep customer communication calm, factual, and confidence-building 5.4 Customer Communication & Trust Communicate during incidents without speculation or panic Explain AI failures in a way customers can understand Set realistic recovery timelines Rebuild trust post-incident through transparency and follow-through 5.6 Feedback Loops to Engineering & Product Write high-signal bug reports and incident summaries Advocate for fixes based on customer impact, not noise Help Product understand real production behavior Ensure support insights influence roadmap and quality improvement 5.7 Support Operations & Excellence Improve runbooks, playbooks, and diagnostics Improve on-call hygiene and escalation clarity Mentor junior support engineers Raise the overall support bar at Ema 6. Traits We're Looking For Technical & Diagnostic Strength Excellent debugging instincts Comfortable operating in ambiguous systems Able to isolate root cause across layers Ownership & Reliability Mindset Issues do not bounce - they get owned Calm during incidents Bias toward permanent fixes Judgment & Communication Knows when to escape and when not to Can say "we don't know yet" credibly Communicates clearly with both engineers and customers Cultural Fit Low ego, high accountability Truth-seeking over blame Respects both customer urgency and engineering quality 7. Required Qualifications 6-9+ years in senior technical support, reliability, or production engineering roles Experience supporting enterprise SaaS platforms in production Strong understanding of: APIs and integrations Distributed systems Logs, traces, and diagnostics Experience handling escalations and incidents Customer-facing experience with senior stakeholders 8. Preferred Background Support or reliability roles in AI / automation platforms Experience with workflow orchestration or agentic systems Familiarity with AWS / GCP / Azure Background in high-availability, 24 7 systems Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Aug 25, 2026
Full time
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google's Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Role Description Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You'll get to collaborate with our software development and DevOps teams to secure Wiz's products, CI/CD infrastructure, and production infrastructure. You'll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments. Responsibilities Lead threat modeling and security reviews across Wiz's products and cloud infrastructure, identifying attack surfaces and developing scalable mitigation strategies. Build automation, policy-as-code, and security tooling that enables development teams to "shift left" and integrate end-to-end security into their workflows. Design and implement secure baselines for cloud resources and Kubernetes based infrastructure. Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls in software supply chains from development through production. Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents. Build deep functional partnerships with Wiz's engineering and operations teams - helping them deliver secure-by-design solutions. Minimum qualifications 7+ years of experience in security engineering or security operations work in cloud environments. Experience with AWS cloud security (or equivalent experience in Azure and GCP with some level of AWS experience). Experience with cloud native Kubernetes services (EKS/GKE/AKS) and container security principles. Experience securing IAM and cloud identities at scale. Experience leading technical security reviews of products and architectures, conducting threat modeling exercises, and translating findings into actionable security controls. Practical understanding of web application security concepts (such as OWASP Top-10 and similar). Hands-on experience with IaC and related tools (Terraform, CloudFormation, Helm, Pulumi). Experience with automation and tooling development in one or more of the following: Python, Go, Shell, HCL, Rego. Preferred qualifications Bachelor's degree in computer science or a related field, and/or equivalent job experience in lieu of a degree. Experience working with remote, globally distributed teams. Experience working in organizations that develop software and/or operate managed infrastructure and technology services for their own customers. Experience with CNAPP, CSPM, or CIEM solutions. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Aug 25, 2026
Full time
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google's Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Role Description Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You'll get to collaborate with our software development and DevOps teams to secure Wiz's products, CI/CD infrastructure, and production infrastructure. You'll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments. Responsibilities Lead threat modeling and security reviews across Wiz's products and cloud infrastructure, identifying attack surfaces and developing scalable mitigation strategies. Build automation, policy-as-code, and security tooling that enables development teams to "shift left" and integrate end-to-end security into their workflows. Design and implement secure baselines for cloud resources and Kubernetes based infrastructure. Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls in software supply chains from development through production. Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents. Build deep functional partnerships with Wiz's engineering and operations teams - helping them deliver secure-by-design solutions. Minimum qualifications 7+ years of experience in security engineering or security operations work in cloud environments. Experience with AWS cloud security (or equivalent experience in Azure and GCP with some level of AWS experience). Experience with cloud native Kubernetes services (EKS/GKE/AKS) and container security principles. Experience securing IAM and cloud identities at scale. Experience leading technical security reviews of products and architectures, conducting threat modeling exercises, and translating findings into actionable security controls. Practical understanding of web application security concepts (such as OWASP Top-10 and similar). Hands-on experience with IaC and related tools (Terraform, CloudFormation, Helm, Pulumi). Experience with automation and tooling development in one or more of the following: Python, Go, Shell, HCL, Rego. Preferred qualifications Bachelor's degree in computer science or a related field, and/or equivalent job experience in lieu of a degree. Experience working with remote, globally distributed teams. Experience working in organizations that develop software and/or operate managed infrastructure and technology services for their own customers. Experience with CNAPP, CSPM, or CIEM solutions. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Microsoft Fabric Data Engineer SQL, Python, PySpark Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models Microsoft Fabric Data Engineer - Contract (Hybrid 2-3 days/wk) Greater Manchester Our Financial Services client has a contract vacancy for an experienced Microsoft Fabric Data Engineer to join their Data & Business Architecture team. This is a hands-on role supporting the operation, development and continuous improvement of a Microsoft Fabric data platform. You'll work across data engineering, platform development, DevOps, CI/CD and data operations, helping to improve the performance, resilience and automation of the platform. This is an excellent opportunity for a hands-on Data Engineer to play a key role in developing and improving a modern Microsoft Fabric data platform, while contributing to automation, DevOps and a scalable data operating model. Role Develop, maintain and optimise Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models. Implement platform improvements arising from a Microsoft Fabric Health Check. Support data ingestion, transformation, validation and integration across internal and external data sources. Troubleshoot pipeline and platform issues and carry out root-cause analysis and performance optimisation. Enhance CI/CD, Git and Azure DevOps processes across development, test and production environments. Support data quality, reconciliation, vendor feeds and critical business reporting. Identify opportunities to automate manual processes and improve data quality and operational efficiency. Develop technical documentation, runbooks and support procedures. Skills & Experience Strong hands-on experience with Microsoft Fabric. Excellent SQL, Python and PySpark skills. Experience with Fabric Lakehouse, Warehouse, Pipelines and semantic models. Practical experience of Git, Azure DevOps and CI/CD. Strong troubleshooting and analytical skills, with experience resolving production data issues. Experience working with APIs, files, databases and third-party data providers. Understanding of data governance, security, quality and reconciliation. Excellent communication skills and the ability to work effectively with technical and business stakeholders. Experience in financial services or another regulated environment would be advantageous, as would Microsoft Fabric certification. Please get in touch to discuss the role, contract details and next steps.
Aug 25, 2026
Full time
Microsoft Fabric Data Engineer SQL, Python, PySpark Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models Microsoft Fabric Data Engineer - Contract (Hybrid 2-3 days/wk) Greater Manchester Our Financial Services client has a contract vacancy for an experienced Microsoft Fabric Data Engineer to join their Data & Business Architecture team. This is a hands-on role supporting the operation, development and continuous improvement of a Microsoft Fabric data platform. You'll work across data engineering, platform development, DevOps, CI/CD and data operations, helping to improve the performance, resilience and automation of the platform. This is an excellent opportunity for a hands-on Data Engineer to play a key role in developing and improving a modern Microsoft Fabric data platform, while contributing to automation, DevOps and a scalable data operating model. Role Develop, maintain and optimise Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models. Implement platform improvements arising from a Microsoft Fabric Health Check. Support data ingestion, transformation, validation and integration across internal and external data sources. Troubleshoot pipeline and platform issues and carry out root-cause analysis and performance optimisation. Enhance CI/CD, Git and Azure DevOps processes across development, test and production environments. Support data quality, reconciliation, vendor feeds and critical business reporting. Identify opportunities to automate manual processes and improve data quality and operational efficiency. Develop technical documentation, runbooks and support procedures. Skills & Experience Strong hands-on experience with Microsoft Fabric. Excellent SQL, Python and PySpark skills. Experience with Fabric Lakehouse, Warehouse, Pipelines and semantic models. Practical experience of Git, Azure DevOps and CI/CD. Strong troubleshooting and analytical skills, with experience resolving production data issues. Experience working with APIs, files, databases and third-party data providers. Understanding of data governance, security, quality and reconciliation. Excellent communication skills and the ability to work effectively with technical and business stakeholders. Experience in financial services or another regulated environment would be advantageous, as would Microsoft Fabric certification. Please get in touch to discuss the role, contract details and next steps.
CBSbutler Holdings Limited trading as CBSbutler
City, London
DevSecOps Engineer - DV cleared months + +4 days a week on site in London +DV cleared - Sole Britsh nationals only due to the nature of the project +Inside IR35 + 600 - 650 a day We're partnering with the Ministry of Defence through our Managed Services on a major AI programme that will play a significant role in supporting future defence capabilities. We're looking for a DV Cleared DevSecOps Engineer to help build, secure and operate the platforms and delivery pipelines that underpin this mission-critical work, based on-site in London 4 days per week. Key tech / tools Python React MongoDB Palantir Kubernetes VMware AWS & Azure What you'll be doing Building and maintaining secure CI/CD pipelines and DevSecOps tooling across cloud and on-prem environments. Supporting containerised platforms (Kubernetes) including deployment, hardening, upgrades, and operational stability. Implementing and improving security controls across the delivery lifecycle (secure-by-default build, release and runtime). Working with engineering teams to enable secure delivery of services and internal tooling (including Python/React components where needed). Supporting platform and environment work spanning VMware , AWS , and Azure . Working with data/platform teams using MongoDB and Palantir in a secure setting. Essential experience (must-have) Active DV clearance and ability to work on-site in London. Strong hands-on DevSecOps / Platform Engineering background in secure environments. Practical experience with: Kubernetes AWS and/or Azure Python VMware If you'd like to discuss this role in further detail, please send your updated CV to (url removed) and I will get in touch.
Aug 24, 2026
Contractor
DevSecOps Engineer - DV cleared months + +4 days a week on site in London +DV cleared - Sole Britsh nationals only due to the nature of the project +Inside IR35 + 600 - 650 a day We're partnering with the Ministry of Defence through our Managed Services on a major AI programme that will play a significant role in supporting future defence capabilities. We're looking for a DV Cleared DevSecOps Engineer to help build, secure and operate the platforms and delivery pipelines that underpin this mission-critical work, based on-site in London 4 days per week. Key tech / tools Python React MongoDB Palantir Kubernetes VMware AWS & Azure What you'll be doing Building and maintaining secure CI/CD pipelines and DevSecOps tooling across cloud and on-prem environments. Supporting containerised platforms (Kubernetes) including deployment, hardening, upgrades, and operational stability. Implementing and improving security controls across the delivery lifecycle (secure-by-default build, release and runtime). Working with engineering teams to enable secure delivery of services and internal tooling (including Python/React components where needed). Supporting platform and environment work spanning VMware , AWS , and Azure . Working with data/platform teams using MongoDB and Palantir in a secure setting. Essential experience (must-have) Active DV clearance and ability to work on-site in London. Strong hands-on DevSecOps / Platform Engineering background in secure environments. Practical experience with: Kubernetes AWS and/or Azure Python VMware If you'd like to discuss this role in further detail, please send your updated CV to (url removed) and I will get in touch.
Req ID: FEQ427R358 At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data and AI challenges. Digital native companies are born in the cloud and build data and AI products at their core, which makes them among the most technical and demanding buyers we work with. As a Senior Solutions Engineer on our Emerging Enterprise Digital Native team, you will win new logos across the UK & Ireland by proving, hands on, that the platform solves their hardest problems. You'll work with a collaborative, customer focused team that values innovation and creativity. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Partner with an Account Executive and a Senior Solutions Architect to win new digital native logos across your UK & Ireland territory, and own the technical win. Run hands on evaluations and proofs-of-concept that get founders, CTOs, and lead engineers excited. Show the Data Intelligence Platform working against their real data and workloads, not slideware. Meet technical buyers on their own ground across modern data engineering (Spark, Delta, streaming), machine learning, and Generative AI, and integrate cleanly with their existing cloud and open source stack. Move at start up speed: qualify quickly, prove value early, and land in a way that sets up expansion. Make the technical and commercial case against competing tools, including cloud data warehouses, open source stacks, and hyperscaler services. Demonstrate our Builder Culture and our principle of "show, not tell", supported by the latest AI tooling, to inspire customers on the art of the possible. Contribute to Databricks' technical community by developing customer facing collateral and joining workshops, hackathons, seminars, and meet ups. Develop technically and in pre sales, with the goal of operating independently as a Solutions Architect. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Emerging Enterprise / Digital Native Solutions Engineering team, which focuses on winning new digital native and high growth technology customers. This role is based in the London office, with regular collaboration across the UK&I region. Core Technical Qualifications: Hands on experience in technical pre sales, consultancy, or engineering, ideally with data native or high growth technology companies. Proficiency in a core programming language such as Python, SQL, Scala, or Java, and a willingness to learn (or existing knowledge of) Spark. Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine tuning, LLMOps). Experience with the modern data stack and open source data tooling, and with at least one major public cloud (AWS, Azure, or GCP). Hands on expertise in designing and delivering proofs of concept (PoCs). Enthusiasm for building with AI based development tooling such as Claude Code, Cursor, or Databricks Assistant / Genie. Pre Sales & Customer Facing Skills: Proven ability to engage customers in a technical sales capacity: building a narrative, challenging assumptions, finding the real pain, and driving to a clear, tangible outcome. Comfort communicating both technical and business value to diverse audiences, from engineers to founders and executives. A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Energized by a high velocity, new logo motion and comfortable with ambiguity rather than a fixed account set. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I for customer visits. Nice to Have: Experience selling to or working at start ups, scaleups, or ISVs. Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Applicant Privacy Notice
Aug 24, 2026
Full time
Req ID: FEQ427R358 At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data and AI challenges. Digital native companies are born in the cloud and build data and AI products at their core, which makes them among the most technical and demanding buyers we work with. As a Senior Solutions Engineer on our Emerging Enterprise Digital Native team, you will win new logos across the UK & Ireland by proving, hands on, that the platform solves their hardest problems. You'll work with a collaborative, customer focused team that values innovation and creativity. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Partner with an Account Executive and a Senior Solutions Architect to win new digital native logos across your UK & Ireland territory, and own the technical win. Run hands on evaluations and proofs-of-concept that get founders, CTOs, and lead engineers excited. Show the Data Intelligence Platform working against their real data and workloads, not slideware. Meet technical buyers on their own ground across modern data engineering (Spark, Delta, streaming), machine learning, and Generative AI, and integrate cleanly with their existing cloud and open source stack. Move at start up speed: qualify quickly, prove value early, and land in a way that sets up expansion. Make the technical and commercial case against competing tools, including cloud data warehouses, open source stacks, and hyperscaler services. Demonstrate our Builder Culture and our principle of "show, not tell", supported by the latest AI tooling, to inspire customers on the art of the possible. Contribute to Databricks' technical community by developing customer facing collateral and joining workshops, hackathons, seminars, and meet ups. Develop technically and in pre sales, with the goal of operating independently as a Solutions Architect. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Emerging Enterprise / Digital Native Solutions Engineering team, which focuses on winning new digital native and high growth technology customers. This role is based in the London office, with regular collaboration across the UK&I region. Core Technical Qualifications: Hands on experience in technical pre sales, consultancy, or engineering, ideally with data native or high growth technology companies. Proficiency in a core programming language such as Python, SQL, Scala, or Java, and a willingness to learn (or existing knowledge of) Spark. Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine tuning, LLMOps). Experience with the modern data stack and open source data tooling, and with at least one major public cloud (AWS, Azure, or GCP). Hands on expertise in designing and delivering proofs of concept (PoCs). Enthusiasm for building with AI based development tooling such as Claude Code, Cursor, or Databricks Assistant / Genie. Pre Sales & Customer Facing Skills: Proven ability to engage customers in a technical sales capacity: building a narrative, challenging assumptions, finding the real pain, and driving to a clear, tangible outcome. Comfort communicating both technical and business value to diverse audiences, from engineers to founders and executives. A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Energized by a high velocity, new logo motion and comfortable with ambiguity rather than a fixed account set. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I for customer visits. Nice to Have: Experience selling to or working at start ups, scaleups, or ISVs. Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Applicant Privacy Notice
The Role We re looking for a new Quality Assurance Lead to join our Technology team based in Loudwater, Buckinghamshire. The QA Lead is responsible for defining, implementing, and continuously improving the quality assurance and testing strategy across Dreams' technology estate. The role will lead a team of testers and quality engineers, ensuring all technology solutions are delivered to the highest quality standards through effective testing, automation, governance, and continuous improvement. The QA Lead will be accountable for quality assurance across: Microsoft Dynamics 365 Finance & Operations (F&O) Dynamics 365 Store Commerce / Retail Ecommerce and Digital platforms Integration services and APIs Data and reporting solutions Business applications and enterprise systems The role will also own the strategic relationship with Dreams' testing partner, Cell Software, ensuring external testing services align to business priorities, quality standards, delivery timelines, and value expectations. Ideally in a retail environment, having a background in working effectively with all parts of the organisation to deliver solutions with outstanding quality. Ready to skip the snooze button and get stuck in? Here s a taste of what you ll be doing day-to-day Managing regression testing for Microsoft's One Version updates. Coordination of business validation activities. Define and maintain Dreams' enterprise testing strategy and quality framework. Establish testing standards, methodologies, governance processes, and best practices. Drive a quality-first culture across Engineering and Product teams. Develop and monitor KPIs to measure quality performance and effectiveness. Provide regular reporting on testing progress, quality risks, defect trends, and release readiness. Act as the senior escalation point for testing and quality-related issues. Lead, coach, mentor and develop a team of QA professionals. Build capability across manual, automation, performance and specialist testing disciplines. Own test planning activities across projects, programmes, change initiatives and BAU enhancements. Define and deliver Dreams' test automation strategy. Identify opportunities to reduce manual testing effort through automation. Establish automated regression testing capabilities aligned to CI/CD pipelines. Drive adoption of modern test engineering practices and tools. Evaluate emerging technologies including AI-assisted testing capabilities. Manage the relationship with Cell Software and other testing suppliers. Own enterprise defect management processes. Monitor defect trends and root causes. Drive corrective and preventative actions. Ensure defects are appropriately prioritised and resolved. Report quality metrics to engineering leadership and key stakeholders. Support release planning and deployment governance. Ensure appropriate testing evidence is available for production releases. The Person This is the type of person we re dreaming of: Essential 5-10+ years' experience in software testing, quality assurance or quality engineering, including leadership responsibilities. Proven experience leading and developing testing teams. Experience defining and implementing testing strategies and quality frameworks. Strong understanding of software development lifecycles and Agile delivery methodologies. Experience managing third-party testing suppliers and partners. Excellent stakeholder management, communication and leadership skills. Technical Experience Strong experience testing Microsoft Dynamics 365 Finance & Operations (F&O). Experience of Dynamics 365 Store Commerce, Retail/POS systems or similar retail technologies. Experience testing ecommerce, web and digital platforms. Strong knowledge of test automation tools, frameworks and best practices. Experience with Azure DevOps or similar test management platforms. Understanding of API, integration and data testing approaches. Desirable Experience within retail, ecommerce or omnichannel businesses. ISTQB certification or equivalent. Experience with performance, security and non-functional testing. Knowledge of AI-assisted testing tools and modern quality engineering practices. Key Success Measures Improved software quality and reduction in production defects. Increased automated test coverage and efficiency. Successful delivery of D365 and digital releases. Strong stakeholder confidence in release readiness and quality. Effective management of Cell Software and external testing services. Continuous improvement of Dreams' testing capability, processes and tooling. This list is not exhaustive, and you will be expected to fulfil additional responsibilities as per business requirements. In your dream role, you ll also receive: Bonus: Our discretionary annual bonus scheme recognises the hard work and dedication of our superstar dreamers. Discounts: Amazing staff discount on Dreams products, plus hundreds of brands including restaurants, holidays, and shopping. Buy-in schemes: You ll have the opportunity to buy extra holiday, private healthcare, or savings and loans. Parking: We know it goes without saying, but our free onsite parking gives you peace of mind when you travel. Wellbeing: We partner with the Retail Trust to offer a 24-hour helpline with a variety of support services, as well as hosting an out of hours GP service. Electric Car Scheme - Our salary sacrifice eclectic car scheme is a budget friendly way to cruise around in style and most importantly, lower those emissions! New to 2024 - enhanced maternity & paternity pay On-site gym, Step into our newly refreshed, free on-site gym, where you ll find everything you need to stay fit and energized. From cardio machines and versatile free weights to dynamic cable machines, resistance bands, and even boxing bags, we ve got it all! Hybrid working: Whether you re an early bird or night owl, we trust you to work your hours responsibly to suit you! About Dreams At Dreams, we know your bed is the best place in the whole world. But for the hours between precious sleep, we d like to make work a special place to be too. We re the UK s most loved bed retailer, so it s important our people feel the l
Aug 24, 2026
Full time
The Role We re looking for a new Quality Assurance Lead to join our Technology team based in Loudwater, Buckinghamshire. The QA Lead is responsible for defining, implementing, and continuously improving the quality assurance and testing strategy across Dreams' technology estate. The role will lead a team of testers and quality engineers, ensuring all technology solutions are delivered to the highest quality standards through effective testing, automation, governance, and continuous improvement. The QA Lead will be accountable for quality assurance across: Microsoft Dynamics 365 Finance & Operations (F&O) Dynamics 365 Store Commerce / Retail Ecommerce and Digital platforms Integration services and APIs Data and reporting solutions Business applications and enterprise systems The role will also own the strategic relationship with Dreams' testing partner, Cell Software, ensuring external testing services align to business priorities, quality standards, delivery timelines, and value expectations. Ideally in a retail environment, having a background in working effectively with all parts of the organisation to deliver solutions with outstanding quality. Ready to skip the snooze button and get stuck in? Here s a taste of what you ll be doing day-to-day Managing regression testing for Microsoft's One Version updates. Coordination of business validation activities. Define and maintain Dreams' enterprise testing strategy and quality framework. Establish testing standards, methodologies, governance processes, and best practices. Drive a quality-first culture across Engineering and Product teams. Develop and monitor KPIs to measure quality performance and effectiveness. Provide regular reporting on testing progress, quality risks, defect trends, and release readiness. Act as the senior escalation point for testing and quality-related issues. Lead, coach, mentor and develop a team of QA professionals. Build capability across manual, automation, performance and specialist testing disciplines. Own test planning activities across projects, programmes, change initiatives and BAU enhancements. Define and deliver Dreams' test automation strategy. Identify opportunities to reduce manual testing effort through automation. Establish automated regression testing capabilities aligned to CI/CD pipelines. Drive adoption of modern test engineering practices and tools. Evaluate emerging technologies including AI-assisted testing capabilities. Manage the relationship with Cell Software and other testing suppliers. Own enterprise defect management processes. Monitor defect trends and root causes. Drive corrective and preventative actions. Ensure defects are appropriately prioritised and resolved. Report quality metrics to engineering leadership and key stakeholders. Support release planning and deployment governance. Ensure appropriate testing evidence is available for production releases. The Person This is the type of person we re dreaming of: Essential 5-10+ years' experience in software testing, quality assurance or quality engineering, including leadership responsibilities. Proven experience leading and developing testing teams. Experience defining and implementing testing strategies and quality frameworks. Strong understanding of software development lifecycles and Agile delivery methodologies. Experience managing third-party testing suppliers and partners. Excellent stakeholder management, communication and leadership skills. Technical Experience Strong experience testing Microsoft Dynamics 365 Finance & Operations (F&O). Experience of Dynamics 365 Store Commerce, Retail/POS systems or similar retail technologies. Experience testing ecommerce, web and digital platforms. Strong knowledge of test automation tools, frameworks and best practices. Experience with Azure DevOps or similar test management platforms. Understanding of API, integration and data testing approaches. Desirable Experience within retail, ecommerce or omnichannel businesses. ISTQB certification or equivalent. Experience with performance, security and non-functional testing. Knowledge of AI-assisted testing tools and modern quality engineering practices. Key Success Measures Improved software quality and reduction in production defects. Increased automated test coverage and efficiency. Successful delivery of D365 and digital releases. Strong stakeholder confidence in release readiness and quality. Effective management of Cell Software and external testing services. Continuous improvement of Dreams' testing capability, processes and tooling. This list is not exhaustive, and you will be expected to fulfil additional responsibilities as per business requirements. In your dream role, you ll also receive: Bonus: Our discretionary annual bonus scheme recognises the hard work and dedication of our superstar dreamers. Discounts: Amazing staff discount on Dreams products, plus hundreds of brands including restaurants, holidays, and shopping. Buy-in schemes: You ll have the opportunity to buy extra holiday, private healthcare, or savings and loans. Parking: We know it goes without saying, but our free onsite parking gives you peace of mind when you travel. Wellbeing: We partner with the Retail Trust to offer a 24-hour helpline with a variety of support services, as well as hosting an out of hours GP service. Electric Car Scheme - Our salary sacrifice eclectic car scheme is a budget friendly way to cruise around in style and most importantly, lower those emissions! New to 2024 - enhanced maternity & paternity pay On-site gym, Step into our newly refreshed, free on-site gym, where you ll find everything you need to stay fit and energized. From cardio machines and versatile free weights to dynamic cable machines, resistance bands, and even boxing bags, we ve got it all! Hybrid working: Whether you re an early bird or night owl, we trust you to work your hours responsibly to suit you! About Dreams At Dreams, we know your bed is the best place in the whole world. But for the hours between precious sleep, we d like to make work a special place to be too. We re the UK s most loved bed retailer, so it s important our people feel the l
