Data Engineering Jobs

Databricks · London

Customer-facing, billable engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. Involves embedding with client teams, scoping technical delivery, integrating ML/AI models and pipelines, and contributing reusable accelerators, with around 20% travel to customer sites.

HAYS Specialist Recruitment · Cardiff · £61,500 – £67,500 pa

Lead the establishment of an enterprise data architecture capability and design a Microsoft Fabric-based common data platform. Define data models, architecture principles, standards, governance and lineage across a complex organisation, working with architects, analysts and senior stakeholders to support reporting, analytics and strategic decision-making.

Hays Technology · Cardiff · £61,500 – £67,500 pa

Lead the establishment of an enterprise data architecture capability and design a Microsoft Fabric-based common data platform. Define data models, principles, standards, governance and lineage across a complex organisation, providing architectural oversight and advising senior stakeholders as part of a major digital transformation programme.

Tenth Revolution Group · London · £60,000 – £90,000 pa

Builds cloud-native data platforms using medallion architecture and engineers batch and near real-time pipelines with Python, PySpark, Databricks and Snowflake. Integrates data from PAS, claims, broker and market feeds for underwriting, pricing, claims and reinsurance, while mentoring juniors and supporting CI/CD. Distinct for its London Market insurance domain focus and senior stakeholder exposure.

The Guinness Partnership · London · £86,897 pa

Lead and evolve the enterprise data architecture capability, defining enterprise data models, domain architectures and architectural standards across a complex organisation. Work hands-on with Microsoft Azure, Microsoft Fabric and governance tooling such as Purview or OneTrust, covering integration architecture, master data management, metadata and data quality. Hybrid role split between London or Oldham offices, influencing stakeholders at all levels.

Fivetran · London

Partner with Commercial sales reps to uncover customer data replication needs and run organised proof-of-value processes that secure the technical win. Deliver technical presentations across AWS, GCP, Azure, Snowflake, BigQuery and Databricks, while advising on database replication and ETL tooling. Hybrid role with two days weekly in the Dublin office.

SoCode · London · £700 – £900 pd

Hands-on data engineering role focused on building and optimising pipelines that consolidate client and market data from multiple sources, with ownership of data logic, transformations and validation. Involves data modelling, reconciliation, quality monitoring and Snowflake performance tuning, applying Medallion Architecture to a growing wealth management platform.

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.

Parkside · London · £100,000 – £150,000 pa

Lead the development of AI features in a legal tech SaaS platform, building ML models for document parsing, search, classification and summarisation. Integrate LLMs with guardrails, evaluation and monitoring, and optimise model serving on AWS. Work hands-on in Scrum squads alongside engineering, product and QA.

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 · London · £100,000 – £110,000 pa

Hands-on role building the backend services, APIs and data integrations behind a new AI layer for an investment management platform. Involves LLM application work such as agent workflows, tool use and RAG, plus security controls, automated tests and AI evaluations, monitoring accuracy, latency and cost in production. Works alongside a Frontend Engineer and product colleagues, releasing iteratively.

Noir · London · £60,000 – £80,000 pa

Design and implement robust data pipelines and configure Quantexa components while leading the technical development of Quantexa-based solutions for established clients. Work with Spark, Scala and Python Databricks, with exposure to DevOps and CI/CD tooling such as Jenkins, GitHub Actions, Azure DevOps, Docker and Kubernetes. Hybrid role in London supporting client data engineering and integration engagements.

WeDoTech · London · £120,000 – £150,000 pa

Senior architectural role shaping enterprise-scale data architecture across AWS during a major modernisation programme. You will define standards and reusable patterns, design batch and streaming solutions, and guide engineering teams on Spark, PySpark, AWS Glue and Airflow while influencing senior stakeholders in a regulated environment.

Picture More · London · £100,000 – £120,000 pa

Design-led architecture role owning target-state integration and data flows across legal platforms such as Elite 3E Cloud and Intapp Cloud, plus the Microsoft and Azure estate. You design interfaces, APIs and reconciliation patterns, assure delivery by internal and third-party teams, and present designs to the business, advising on AI and legal technology standards.

Harnham - Data and Analytics Recruitment · London · £90,000 – £110,000 pa

Defines and evolves the architecture of a modern cloud-based data platform, providing technical leadership across data platform and engineering teams. Designs scalable, secure data solutions and champions DataOps practices including CI/CD, testing, monitoring and automation, while guiding ETL/ELT implementation and AI-enablement initiatives.