Data Engineering Jobs

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.

Spencer Rose · Manchester · £380 – £400 pd

Build and maintain secure, scalable applications within an agile, cross-functional team at a Tier-1 banking client. Work spans modern Java engineering, microservices, Kafka streaming, cloud platforms, data engineering and quality automation, with two days a week required on-site in Manchester.

TRIA · London · £90,000 – £95,000 pa

Hands-on technical leadership role within a small data engineering squad, setting engineering standards while building scalable pipelines in Python, SQL and Snowflake. Involves data modelling, integrations, performance and reliability work on an Enterprise Data Platform, plus mentoring engineers and shaping architecture with AWS cloud technologies.

CBSbutler Holdings Limited trading as CBSbutler · London · £70,000 – £80,000 pa

Hands-on engineering role building, maintaining and optimising data pipelines using KDB+/q and Python, working with large financial datasets and high-performance data solutions in a banking environment. Sits within a capital markets context, with banking or financial services experience considered an advantage.

Avanti Recruitment · Saint Peters, Australia · £80,000 – £100,000 pa

Take technical ownership of a new AI layer within an established SaaS document-processing platform for the legal sector, working closely with the CTO. Design production AI/ML systems in Python using NLP, LLMs and retrieval approaches, covering architecture, data pipelines, evaluation and monitoring, while remaining hands-on and guiding other engineers.

Damia Group · London · £400 – £450 pd

Hands-on data engineering role on a major data transformation and cloud modernisation programme in a regulated banking environment. You will design, build and optimise ETL/ELT pipelines using Databricks, Python, SQL and Oracle, migrate legacy data assets to modern cloud architectures, and troubleshoot production issues. Delivery-focused rather than a technical lead position, working independently with business and technology stakeholders.

Elastic · United Kingdom

Owns the production improvement loop for a knowledge layer that AI agents use to work with enterprise data in Elasticsearch, covering extraction automations, retrieval tools and memory. Writes production TypeScript, designs telemetry and evaluation for agent traces, tool calls and retrieval, and sets the technical bar for safe iteration on agentic behaviour alongside data scientists, backend engineers, product and UX.

Barclays · Glasgow

Owns the optimisation and strategy of transaction monitoring controls across Barclays UK and International, tuning surveillance systems and developing detection solutions. Involves data exploration with SQL, Scala, Spark and Python, plus governance and escalation within a regulated financial crime environment.

Infinitive Resources · York · £350 – £450 pd

The Data Engineer will design, develop, and maintain robust data pipelines to collect, process, and store data from various sources within Network Rail’s routes. They will ensure data quality, integrity, and availability, and collaborate with the data visualisation team to create insightful and user-friendly visualisations. The role involves working with railway industry data, implementing data governance standards, and ensuring compliance with legal and regulatory requirements.

Vermelo RPO · Manchester

Senior technical authority for a Databricks Lakehouse platform, defining engineering standards, architecture and best practices across the enterprise data ecosystem. Leads design and delivery of scalable data products using Databricks, Delta Lake, Unity Catalog and Azure Data Services, while mentoring engineers and acting as escalation point for technical decisions.

Integrity Recruitment Solutions · Birmingham

Lead BI Developer role focused on designing and building data platforms during a major business and IT transformation, with data enhancement as a central focus. The business is transitioning to Microsoft Fabric, working with SQL, Python/PySpark, Data Factory and AI tools such as Microsoft Copilot. The role is expected to grow, requiring managerial and leadership experience to build out additional team members.

Reperio Human Capital · Dublin, Ireland · £69,059 – £73,375 pa

Maintains AWS infrastructure (EKS, EC2, S3, IAM, RDS, Lambda) with Terraform, runs and troubleshoots Kubernetes workloads, and builds CI/CD pipelines in GitHub Actions or GitLab CI. Writes Python and Bash automation, applies security best practice, and joins incident response and an on-call rotation while helping set engineering standards as the team scales.

Vermelo RPO · Manchester

Senior technical authority for a Databricks Lakehouse platform, defining engineering standards, architecture and best practices across the enterprise data ecosystem. Leads design and delivery of scalable data products using Databricks, Delta Lake, Unity Catalog and Azure Data Services, designing Medallion Architecture solutions and providing technical leadership across multiple squads. Hybrid role requiring two days a week in the Manchester, Stoke or Peterborough office.

Harnham - Data and Analytics Recruitment · London · £50,000 – £60,000 pa

Designs, develops and maintains BI solutions for a data consultancy's client projects, building ETL pipelines, optimising T-SQL queries and stored procedures, and creating semantic and tabular models with SSAS and DAX. Works with dimensional modelling and Kimball data warehousing practices, collaborating with analysts in a fast-paced client-facing environment where priorities shift.

Lowell · Leeds

Hands-on role maintaining and shaping the data infrastructure that supports decision-making across a UK debt litigation and credit services group. Day to day you work with SQL, SSIS, ETL processes and large datasets to keep the data warehouse accurate, efficient and scalable, while identifying automation and performance improvements. You partner closely with a range of stakeholders to turn complex data into clear, useful insights.