Data Engineering Jobs

eTech Partners · London · £60,000 – £65,000 pa

Designs and builds data solutions using Microsoft Fabric and Azure, developing and maintaining ETL/ELT pipelines across multiple sources. Works with Fabric Lakehouses, Notebooks, Pipelines and Workspaces alongside Azure Data Factory, Databricks, Azure SQL and Synapse, coding in SQL, Python and PowerShell. Also supports Power BI reporting and ensures data quality, security and governance, using Azure DevOps/GIT for source control and deployment.

Palantir Technologies · Washington, United States · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed directly with customers to scope and build data-driven solutions, often starting from open-ended operational questions. The role spans architecture discussions, large-scale data wrangling, custom web app development and executive-level strategy work, with small autonomous teams and frequent on-site customer contact.

CBSbutler Holdings Limited trading as CBSbutler · Telford · £400 – £460 pd

Support live data platforms and improve service monitoring across a complex technical environment, working with Denodo, Talend, PDI, Git, MySQL and Amazon Redshift. Build and consolidate Grafana dashboards into a unified Live Service view with drill-down, implement alerting for legacy services, and gather requirements from service stakeholders to boost visibility and operational resilience.

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.

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.

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.

Principal IT · Lincoln · £45,000 – £47,000 pa

Hands-on role designing and maintaining business-critical applications, SQL Server databases and reporting across a Microsoft stack. Day to day involves Power Platform and .NET development, Power BI dashboards with DAX, SSRS reports, ETL pipelines and system integrations, working with both technical teams and business stakeholders on transformation projects.

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.

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.

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.

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.

SoCode · London · £60,000 – £80,000 pa

Hands-on role building and maintaining a scalable data platform for a wealth management business, developing pipelines in Python and SQL and transforming data from multiple sources. You'll work with PostgreSQL and Snowflake, build data models, and implement quality checks, validation and reconciliation processes, applying Medallion Architecture principles.