Datatech

DV Cleared Data Engineers Belfast, London, Manchester & Bristol Hybrid Active DV clearance required Live systems, real consequences, no sandbox. We're working with a major UK organisation delivering secure, enterprise-scale data platforms across defence and national security programmes. This is hands-on engineering in operational environments, where scale, resilience and reliability aren't optional. The role Design and build modern data platforms and production-grade pipelines across secure cloud environments working alongside engineering and architecture teams on high-volume systems that drive real operational outcomes. What you'll do - Build scalable pipelines across ingestion, processing and serving layers - Work with Python, SQL, APIs and distributed data tooling - Handle structured and unstructured workloads at scale - Integrate multiple sources into modern cloud platforms - Collaborate across engineering and delivery on mission-critical programmes The environment Python, SQL, Spark, Java or Scala AWS, Azure or GCP modern distributed and cloud-native architectures What we need - Active DV clearance essential - Production-scale pipeline experience - Strong engineering and platform mindset - Big data tooling and cloud ecosystem exposure - Comfortable in delivery-focused, secure environments Why consider it Hard engineering problems, high-trust environments, and real technical ownership from day one. The systems are live and the outcomes matter. DV cleared and want to hear more? Message me confidentially.

Principal Data Architect DV Cleared Secure Government & Defence Programmes UK Hybrid + client site Active DV clearance non-negotiable Architecture that ends up in service, not in a slide pack. Datatech Analytics is supporting a leading UK consulting and technology organisation building secure, enterprise-scale data platforms across defence, national security and classified government programmes. We're engaging Principal Data Architects who want ownership, not oversight. The role You'll set and lead the technical direction of large-scale data platforms on mission-critical programmes working alongside senior stakeholders, engineers and delivery teams. Not advisory. You stay close to delivery and shape how platforms get built, deployed and used. What you'll do - Own enterprise data architecture across secure programmes - Design end-to-end platforms ingestion through to analytics and operational use - Build secure, scalable architectures for highly classified environments - Turn complex mission requirements into things that ship - Lead engineering teams through implementation - Shape long-term architectural strategy and capability The environment AWS, Azure, GCP Databricks, Snowflake lake, lakehouse and modern warehouse patterns distributed processing DevOps, IaC, secure deployment governance, access control, analytics enablement What we need - Active DV clearance - Track record delivering enterprise-scale data platforms - Defence, national security or secure government background - Deep cloud data architecture and secure design expertise - Credible with senior stakeholders - Led teams through complex delivery Why it matters These programmes sit at the core of the UK's secure data capability. Real constraints, real consequences, no sandbox platforms that support operational decisions when it counts. Confidential conversation: (url removed)

Lead Developer (Full Stack, AI) UK, Remote-first 55k- 65k Remote-first 55k- 65k Rare opportunity to join a high growth team building cutting edge AI products in a fast moving, creative environment. You'll be part of a small, high impact team with the autonomy and pace of a scale up, where decisions are made quickly and your work has real visibility. At the same time, the business benefits from the backing, stability, and support of a larger, well established organisation, giving you the best of both worlds. This is a hands on' Lead role, managing a small team while owning delivery across full stack development, architecture, and deployment. You'll play a key role in shaping how AI is embedded into real, production grade products, not just experimentation. What you'll be doing: Leading 2 developers while staying close to the code Designing, building, and scaling full stack applications Owning system architecture, deployment, and engineering standards Integrating AI features into products using modern APIs and data-driven approaches Improving CI/CD, environments, and overall delivery capability Tech environment - Not set in Stone Frontend: React, Next.js, TypeScript (or similar) Backend: Node.js (Express, NestJS) or Python (FastAPI, Django) (or similar) APIs: REST, GraphQL (or similar) Databases: PostgreSQL, MongoDB (or similar) AI / Data: Experience integrating AI/ML features via APIs (e.g. OpenAI, Anthropic or similar) Exposure to data pipelines, inference workflows, or retrieval-based systems (RAG, vector DBs or similar) Cloud & DevOps: AWS, Azure, or GCP Docker, CI/CD pipelines (GitHub Actions, GitLab CI or similar) Experience deploying and maintaining production systems is essential What they're looking for: Strong full stack engineer with leadership experience Proven track record delivering and deploying real products Comfortable owning deployment and improving engineering standards Clear communicator, able to work across technical and non-technical teams This role isn't for you if: Your AI experience is limited to demos, courses, or side projects without production use You've never deployed or maintained a live system end-to-end You prefer purely frontend or backend work without full stack ownership You're not comfortable taking responsibility for delivery, not just contributing code Communication with non-technical stakeholders isn't something you enjoy Small team, real ownership, exciting vision genuine impact. If you've shipped products, can lead from the front, and want to build something meaningful in the AI space, Apply Now (url removed) No sponsorship available

Senior Data Engineer London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) 70,000 to 80,000 depending on experience Ref: J13073 A growing AI SaaS business, where data sits at the centre of everything they build, is looking for a Senior Data Engineer to take ownership of the pipelines that power their platform. This is an opportunity to work with real world, complex data and turn it into reliable, decision ready datasets used across product, analytics and machine learning. Python and SQL sit at the heart of the role. The Opportunity You will design, build and maintain scalable data pipelines that support a fast moving AI platform. You will work closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. The business works with large volumes of imperfect and inconsistent data, so you will need to be comfortable handling edge cases, improving data quality and solving complex data challenges. The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. You will also have the opportunity to support and mentor other engineers through collaboration, code reviews and sharing best practice. The team is supportive, highly collaborative and values different perspectives. Engineers are given the space to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform. Key Responsibilities Design, build and maintain scalable data pipelines Own data pipelines from source through to production Work with messy, incomplete and complex datasets to create clean, reliable outputs Improve data quality, performance and reliability as the platform scales Collaborate closely with product, analytics and machine learning teams Contribute to code reviews, engineering standards and best practice Support and mentor other engineers within the team What We Are Looking For Strong Python and SQL expertise gained within large scale production environments Experience delivering complex data transformation projects end to end Experience with Spark, Snowflake, BigQuery or similar technologies Exposure to cloud environments such as AWS, GCP or Azure Comfortable working with large, messy and evolving datasets Experience taking ownership of pipelines and data engineering solutions from design through to deployment A collaborative approach with experience mentoring or supporting other engineers If you enjoy building the data foundations behind AI products and want to join a business where you can have real impact, this could be an excellent fit. To find out more, please get in touch. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. If you know someone who may be interested, referrals are always welcome. For every successful placement, you will be eligible for our referral reward scheme. Datatech is one of the UK's leading recruitment agencies specialising in Data, Analytics, AI and Technology recruitment, and is the host of the Women in Data event.

Head of Platform Delivery AI & Data Platform London Hybrid, 3 days in office Up to 120,000 Ref: J13067 We're hiring a Head of Data Platform Delivery for a growing AI and first party data platform business. This is not a PMO or traditional programme role. This is for someone who has delivered within a SaaS or data platform environment and understands how to run complex implementations across multiple enterprise clients. You will own how delivery works as the business scales. From shaping the operating model to translating commercial agreements into delivery plans, through to leading multiple live client programmes. What you'll be doing Turning Statements of Work into clear, realistic delivery plans Leading multiple platform implementations across enterprise clients Building delivery frameworks, governance and ways of working from scratch Aligning Engineering, Data Science and Product teams to deliver effectively Owning delivery risk, scope, milestones and escalation Deciding whether client requirements should be built into the core platform or delivered as client specific solutions Creating a strong feedback loop between delivery and product What they're looking for Experience delivering in SaaS, AI or data platform environments You've built delivery capability, not just operated within it Strong experience translating commercial agreements into delivery plans Comfortable running multiple client programmes in parallel Able to operate in ambiguity and take ownership in a scaling business Credible with both senior clients and engineering teams Technical understanding across data platforms, APIs, cloud or similar If you're currently working in a platform environment and want to take ownership of how delivery is built and scaled, this is a high impact role with real scope to shape how the business operates. Apply directly or get in touch for a confidential conversation. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed)

Senior MMM Analyst/Consultant London hybrid working (3 days in City based London offices) Negotiable dep on experience c 75- 80,000 Job Reference J13090 We are currently working closely with a leading boutique marketing effectiveness consultancy who are experiencing sustained growth and keen to hire a Senior MMM Professional to take on the journey with them. They collaborate with many of the world's best-known brands helping them to understand the true impact of their marketing working together to answer specific marketing related questions and planning more effective marketing strategies. They use techniques such as econometric modelling to build a detailed understanding of every marketing component and all of the influencing factors. They analyse all elements of marketing, from the performance of brand and direct advertising, to price and promotional optimisation, and all within the context of the wider world from climate change to the rising cost of living. They also undertake complex analysis projects that are outside the scope of marketing', but can be investigated for clients using their highly developed statistical techniques. Thoughtful, logical analysis is at the heart of what they do - thriving on complex challenges, solving problems by exploring new ideas, advancing techniques and paying great attention to detail. Despite the complexity of their work, their main aim is to communicate this analysis in an easily understandable and actionable way; enabling clients to more effectively plan their marketing programmes and strategies. They'd like you to join them in developing and adding to these approaches - they are looking for someone with an enquiring mind, a keen attention to detail, and who thrives on using data to solve marketing problems for clients. More about the role and person This role is ideal for someone ready to take the next step in their career: transitioning from mainly hands-on modelling to managing and guiding projects delivered by others. They're seeking a hybrid doer/manager' someone who can maintain a strategic overview while still being hands-on when needed, i.e. confidently switch between delivery and leadership. They are looking for an independently minded professional with around 58 years of experience in a similar role. Whether your background is agency-based, client-side, from a specialist modelling house, or as an independent consultant they welcome all perspectives and are excited to grow their diverse team. Reporting to the Director, the primary responsibility of the Lead Analyst is to deliver outstanding marketing mix modelling (MMM) evaluation for their clients. This will include, either directly or indirectly through Analyst resources as needed, managing the collection and preparation of data from a range of sources, using statistical analysis tools such as R, Eviews and Excel to produce robust models, and then translating the results into engaging presentations to clearly communicate the results and insights to clients. They pride themselves on our innovative approach to analysis and insight and you will also play a key role in the development of new tools, techniques and other R&D projects alongside the other members of the team. If you are someone who thrives in a collaborative environment and values diverse perspectives. You're motivated by the challenge of helping businesses grow and evolve through data-driven insight. You're also excited by the opportunity to influence and shape the technical direction of a forward-thinking team. Then please do get in touch with our recruitment partner, Datatech Analytics, to find out more. Based in London E1, and whilst they work on a flexible hybrid basis, they would like this person to be able to regularly come into the office to facilitate a team dynamic and foster mentoring relationships with more junior colleagues. So if you're seeking a role that balances autonomy with the support of industry-leading peers and offers the freedom to think, grow, and innovate then this position may be exactly what you're looking for. Get in contact to arrange a confidential call.