5 jobs found

Fast-growing UK software product business (400+ staff, globally), serving hundreds of enterprise customers worldwide, are looking for a Senior Data Engineer to help shape the future of its data platform. You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business. Location: UK, remote with very occasional visits to the office in London. Salary: Up to £85,000 basic, plus 10% bonus and an extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape enterprise data architecture, balancing scalability, performance, security and maintainability. Partner with stakeholders across Finance, Product, Sales, Marketing and Engineering to turn business challenges into technical solutions. Embed data quality, governance and access controls throughout the data lifecycle. Mentor a junior engineer and help mature a growing data function. What you need to bring Senior level experience in data engineering, with strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake, etc) Advanced SQL and Python coding skills. A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions. Solid grounding in data architecture, modelling and modern data platform design. Cloud experience, preferably AWS (Azure also fine though), and familiarity with CI/CD and source control best practice. Working across numerous data pools, but with a particular focus on financial & sales / revenue data is preferd. Desirable : More Data Science leaning background or want to explore ML / AI & data / predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture and platform strategy. Join a small, high-impact team at the heart of the company's data strategy, with genuine scope to shape how it evolves. We are near the beginning of our Data Ops journey so an excellent opportunity to shape the future! Extensive benefits package including health insurance, income protection, life assurance, subsidised gym membership and 25 days' holiday plus your birthday off. If you're a Databricks specialist who wants to build something from the ground up rather than maintain someone else's legacy, we'd love to hear from you . Apply now to find out more.

Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

UK HQ based & fast-growing software business (400+ staff, globally), serving hundreds of enterprise customers worldwide, are looking for a Senior Data Engineer to help shape the future of its data platform. You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business. Location: UK, remote with very occasional visits to the office in London. Salary: Up to £85,000 basic, plus 10% bonus and an extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape enterprise data architecture, balancing scalability, performance, security and maintainability. Partner with stakeholders across Finance, Product, Sales, Marketing and Engineering to turn business challenges into technical solutions. Embed data quality, governance and access controls throughout the data lifecycle. Mentor a junior engineer and help mature a growing data function. What you need to bring Senior level experience in data engineering, with strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake, etc) Advanced SQL and Python coding skills. A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions. Solid grounding in data architecture, modelling and modern data platform design. Cloud experience, preferably AWS, and familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore ML / AI & data / predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture and platform strategy. Join a small, high-impact team at the heart of the company's data strategy, with genuine scope to shape how it evolves. We are near the beginning of our Data Ops journey so an excellent opportunity to shape the future! Extensive benefits package including health insurance, income protection, life assurance, subsidised gym membership and 25 days' holiday plus your birthday off. If you're a Databricks specialist who wants to build something from the ground up rather than maintain someone else's legacy, we'd love to hear from you . Apply now to find out more.

We're looking for a Senior Software Engineer to join a growing AI team and take ownership of the application and integration layer behind a new generation of AI-powered products. This is a genuinely full-stack engineering role, combining production-grade backend development, API design, AI integrations and frontend engineering. You'll work across the full application lifecycle, designing the services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing Own the application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear, scalable APIs using REST and/or GraphQL, including authentication, authorisation, versioning and streaming interfaces such as SSE or WebSockets. Build production frontend applications using React, TypeScript and JavaScript. Work closely with UX and product teams to turn designs into accessible, responsive and intuitive interfaces. Develop AI-specific user experiences including streaming responses, citations, source information, agent/tool progress and graceful error handling. Integrate with internal platforms and third-party services, considering security, scalability, performance and reliability. Establish automated testing across backend and frontend applications, including unit, contract and end-to-end testing. Work with the platform engineering team on deployment, observability, logging, tracing and operational readiness. Act as the technical owner for the application and integration layer, making and documenting key architectural decisions. Provide technical guidance, code reviews and mentoring to other engineers. You should have: Strong commercial experience with Python for backend and integration development. Strong TypeScript/JavaScript and React experience building production applications. Strong API design experience, including REST and/or GraphQL, authentication, authorisation, versioning and streaming. Hands-on experience with MCP (Model Context Protocol) or comparable tool/plugin integration technologies, alongside an interest in AI agents and agent-to-agent connectivity. Solid experience with AWS, ideally including services such as Lambda, ECS, API Gateway, S3, CloudFront, Cognito and IAM. Experience designing and operating distributed or event-driven systems. A strong understanding of observability, testing and CI/CD practices. Experience working with data platforms or stores such as MongoDB, OpenSearch or Databricks. Experience integrating internal systems and third-party services securely and reliably. Experience working closely with designers to deliver production-quality frontend applications. A good understanding of accessibility and frontend performance. Experience with RAG, AI agents, tool use or other generative AI application patterns would be advantageous, although deep ML expertise isn't required. This is an opportunity to have genuine ownership over how AI capabilities become usable, scalable software products. You'll be joining an AI-focused engineering environment where you can work at the intersection of software engineering, APIs, cloud infrastructure and generative AI, while helping establish the engineering standards and architecture that will support future products. If you're a senior engineer who enjoys moving between backend architecture and frontend delivery, wants ownership rather than simply a list of tickets, and is excited about where AI agents and modern application architecture are heading, we'd love to hear from you. INDLON 52212MS The Portfolio Group are acting on behalf of our client in recruiting for this position.

Here's a tighter version, keeping the technical credibility but making it feel less like a standard job spec: Principal Data Architect DV Cleared Secure Government & Defence Programmes UK Hybrid + Client Site Active DV clearance is essential Architecture that gets built, deployed and used, not left sitting in a slide deck. Datatech Analytics is working with a leading UK consulting and technology organisation delivering secure, enterprise-scale data platforms across defence, national security and classified government programmes. We're looking for Principal Data Architects who want genuine ownership and influence, while staying close to the engineering and delivery. The role You'll set the technical direction for large-scale data platforms across mission-critical programmes, working closely with senior stakeholders, engineers and delivery teams. This is hands-on architecture. You'll help shape the platform, guide implementation and make sure the architecture works in the real world. What you'll do Own data architecture across complex, secure programmes Design end-to-end platforms, from ingestion through to analytics and operational use Develop scalable architectures for highly classified environments Translate complex mission requirements into solutions that can actually be delivered Lead and guide engineering teams through implementation Shape longer-term data architecture and platform strategy The environment AWS, Azure, GCP Databricks, Snowflake Lake, Lakehouse and modern warehouse architectures Distributed processing DevOps, IaC and secure deployment Governance, access control and analytics What we're looking for Active DV clearance Strong track record delivering enterprise-scale data platforms Experience across defence, national security or secure government environments Deep cloud data architecture and secure design experience Comfortable operating with senior technical and business stakeholders Experience leading teams through complex delivery Why it matters These are programmes where data architecture has a direct impact on operational capability. Complex environments, genuine security constraints and platforms that need to work when it matters. If you're an experienced Data Architect with DV clearance and want to have a real say in how these platforms are designed and delivered, I'd be happy to have a confidential conversation. (url removed) (mailto:(url removed