Data Engineering Jobs

Circle Recruitment · London · £100,000 – £120,000 pa

Lead a law firm's enterprise and data architecture function, owning architecture principles, standards, roadmaps and design governance across technology services and platforms. Shape technology and data strategy, build a well-governed data environment for reporting, insight, compliance and responsible AI adoption, and manage a team of Solutions Architects, Consultants and Data Architects. Hybrid working, two days a week in the London office.

Click Digital · Guildford · £66,000 pa

Lead data engineering for a large organisation, shaping an enterprise-level cloud data platform that supports reporting, advanced analytics and future AI. Design and maintain pipelines, data models and governance controls using SQL, Python, Azure and Databricks, while mentoring an Analytics Engineer and influencing data strategy with senior stakeholders.

Click Digital · Manchester · £63,000 pa

Lead data engineering for a large organisation, shaping an enterprise cloud data platform that supports reporting, advanced analytics and future AI. You'll design pipelines and data models using SQL, Python, Azure and Databricks, set engineering standards, and manage an Analytics Engineer while influencing data strategy with senior stakeholders.

Hays Technology · Birmingham · £47,389 – £63,306 pa

Joins a major data and reporting transformation programme, replacing legacy reporting with a modern Power BI environment. Leads requirements workshops, translates business needs into technical specs, and supports semantic model design, data lineage and UAT alongside data engineers and senior stakeholders.

Palantir Technologies · Sydney, Australia

Forward Deployed Software Engineers embed with government customers to understand open-ended problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive briefings. Interns work in small teams with minimal supervision and own end-to-end delivery of high-stakes projects, using languages such as Python, Java, C++ or TypeScript.

Datatech · London · £80,000 – £90,000 pa

Build and lead a new data engineering function at a scaling AI-powered SaaS business, owning engineering standards, tooling and delivery practices. Stay hands-on with SQL transformation pipelines, Python orchestration, data modelling, CI/CD and production reliability, while line-managing and developing engineers and integrating AI outputs into production pipelines.

Matillion · Manchester · £76,000 – £114,000 pa

Owns a core area of an AI agent for data engineering end to end, defining problems, prioritising trade-offs and driving measurable impact. Builds evals to hold agentic behaviour to a high bar, reasons with Engineering about models, context, MCP and orchestration, and partners with Design and GTM. Uses AI tools actively across research, synthesis, prototyping and analysis.

ARM · Glasgow · £600 pd

Defines the target-state data architecture, integration patterns, and governance framework for a solution supporting operational reporting, analytics, and future AI initiatives. Sets data models, security, quality, and retention standards while providing architectural oversight across data engineering and analytics delivery teams. Cloud-based work with a strong Azure and Databricks focus.

Michael Page · Nottingham · £55,000 – £57,000 pa

Builds and maintains data pipelines, ETL processes and data warehouses for a global commercial retailer, optimising databases for performance and scalability. Works with SQL, Python/Java/Scala and Azure tooling such as Data Factory, Logic Apps and Databricks, reporting into the Lead Data Engineer. One day per week onsite in Nottingham.

NES Group Ltd · London

Leads customer intelligence and value measurement across multiple markets, building CLV, RFM segmentation and incrementality models. Reconciles customer, transaction and margin data into defensible value estimates, partnering with Finance. Builds scalable pipelines using Databricks, Spark and Python with strong audit and reconciliation practices.

J&J Search · Bath · £80,000 – £100,000 pa

Owns the enterprise data strategy and roadmap for a UK wealth management group, defining architecture and leading the technical build of a data warehouse, lake and pipelines. Combines governance, data quality and lineage work with hands-on engineering in Microsoft Fabric and Azure, partnering with the IT Director and senior stakeholders across multiple group businesses.

Grafana Labs · United Kingdom · £123,000 – £148,000 pa

Customer-facing product expert partnering with Sales to run demos, technical evaluations and enablement for Grafana Cloud prospects. Owns the technical engagement to close complex observability deals, feeding customer insight back to Product and Engineering. Requires 5+ years of technical pre-sales and UK location.

Tenth Revolution Group · Berkshire · £55,000 – £61,000 pa

Hands-on role modernising a legacy reporting environment and shaping a cloud-native analytics platform, with ownership of critical reporting platforms and business-facing data products. Requires production experience with Azure Databricks and the wider Azure stack, plus strong stakeholder management within business and technology transformation programmes.

Grafana Labs · United Kingdom · £103,958 – £124,750 pa

Builds and operates multi-tenant SaaS databases (Mimir, Loki, Tempo, Pyroscope) across AWS, GCP and Azure, writing production code and automation to make them self-healing and scalable. Owns the SLO framework, leads incident response and customer bridge calls for highest-SLA customers, and sets technical direction across squads. Includes weekday 12-hour on-call shifts and a weekend rotation roughly every six to eight weeks.

eFinancialCareers · London · £600 – £700 pd

Shapes future-state architecture across a data platform landscape, leading build vs. buy assessments and providing strategic direction to delivery and technology teams. Supports the transition from current to target-state architecture, resolving conflicts and dependencies while weighing low-code/no-code and AI trends. Requires banking and enterprise data platform expertise.