Data Engineering Jobs

Palantir Technologies · Palo Alto, United States · US$145,000 – US$200,000 pa

Own end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereign environments with constrained GPUs. Work full stack across inference engines, GPU scheduling, Kubernetes packaging, deployment pipelines, and observability, debugging issues in systems you cannot always access directly.

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

Forward Deployed Software Engineers embed with government customers to design and build end-to-end solutions, moving from ambiguous problem statements through system design, prototyping, application development and data integration. Work spans Palantir platforms, open source tooling and custom builds using Java, Python, TypeScript/React, Spark and AWS, with frequent on-site customer collaboration.

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £75,000 – £84,000 pa

Hands-on role supporting, improving and scaling an enterprise Azure-based data platform, ensuring it stays reliable, secure, observable and production-ready. Day to day involves Microsoft Fabric, Azure Databricks, CI/CD, Terraform, monitoring and incident resolution, working closely with Architecture, Security and Infrastructure teams.

Harnham - Data and Analytics Recruitment · London · £50,000 – £55,000 pa

Build and maintain proprietary tools, API integrations and data pipelines that support marketing and analytics teams. Work across JavaScript, TypeScript, Node.js and GCP, with exposure to AI frameworks and automation workflows. Sits at the intersection of software engineering, data and digital marketing, collaborating closely with SEO, paid media and content teams.

Tenth Revolution Group · Reading · £55,000 – £65,000 pa

Designs and builds scalable cloud data solutions, supporting a migration from a legacy SQL environment to Azure Databricks. Works with Python, PySpark, Delta Lake and Unity Catalog to create pipelines, transformation frameworks and curated data layers, while optimising models for analytics and self-service BI. Involves governance, security and data architecture decisions within a growing data function.

Tenth Revolution Group · West Midlands (Region) · £45,000 pa

Maintains and develops data pipelines and models that support business-critical reporting, ensuring data is accurate, documented and accessible. Works in a small cross-functional team reporting to the Head of IT, partnering with sales, marketing and operations on data questions and quality standards. Uses SQL, Git, dbt, Python and cloud data warehouses.

Matillion · Australia

Customer-embedded delivery role deploying and optimising the Maia Foundation platform for enterprise clients, architecting production-grade integrations and distributed data systems in Python, SQL and APIs. Involves modernising legacy ETL/ELT workflows across AWS/Azure/GCP and Kubernetes, integrating AI APIs, and delivering solutions within 8-12 week Accelerator windows while working directly with customer executives.

Matillion · East Coast USA · US$107,500 – US$150,000 pa

Owns the full enterprise sales cycle for an AI data automation platform, from self-sourced pipeline through six-figure closes. Partners with SDRs, marketing and channel/consulting partners on territory strategy, and works cross-functionally with product and solution architecture. Quota-carrying new business role on the US East Coast.

Noir · Newcastle upon Tyne · £45,000 – £80,000 pa

Builds and optimises high-quality data pipelines processing large volumes from internal and external sources, and helps maintain a central data platform supporting investment decision-making. Works closely with business stakeholders on how data is accessed, tested and leveraged, using SQL, Python, AWS, Git and Airflow. Requires direct hedge fund sector experience.

Intec Select · London · £80,000 – £90,000 pa

Analyse, design and implement enhancements to financial crime and surveillance platforms including transaction monitoring, sanctions screening and market surveillance. Hands-on Python, PowerShell, .NET and Power BI work, plus data engineering with Snowflake, SQL, MongoDB and Kafka, root cause analysis, audit support and ML model tuning within a bank's compliance technology team.

Robert Walters · Nottingham · £50,000 – £60,000 pa

Builds and maintains data pipelines, ETL processes and structured data warehouses, integrating information from multiple sources and running strict data quality checks. Works with SQL, Python, Databricks, Azure Data Factory, Logic Apps and Synapse Analytics in a hybrid Nottingham team.

eFinancialCareers · Belfast

Day-to-day you will run and modernise a hybrid database estate spanning Oracle, MongoDB, IBM Object Store and Snowflake across bare-metal, OpenShift and cloud VMs. The role centres on zero-downtime migrations to AWS, GCP and Snowflake, plus building AI/agentic automation, Terraform and Ansible IaC, and HA/DR frameworks for Citi's global finance platform.

Müller UK & Ireland · Droitwich

Develops and supports Operational Technology systems across manufacturing sites, building C#/.NET applications, managing data platforms and historians like AspenTech IP21 and GE Proficy, and maintaining SQL Server databases. Bridges OT and IT by supporting SCADA, iFIX/AVEVA InTouch, Windows Server and Hyper-V infrastructure while working with central IT on networking and cybersecurity governance.

Big Sky Additions · Norwich · £35,000 – £38,000 pa

Hands-on backend role building and maintaining services and RESTful APIs in C# and .NET for a data analytics platform used to access and understand financial information. You'll work in a small team reporting to the CTO, integrating data from multiple sources, optimising SQL queries and improving API performance, reliability and scalability.

VIQU IT Recruitment · Solihull · £65,000 – £70,000 pa

Owns the roadmap and lifecycle for certified data products such as datasets, dashboards, semantic models and AI-enabled features, leading a team of Data Analysts and BI Developers. Acts as the bridge between technical delivery and business stakeholders, embedding a federated data-mesh operating model and driving data literacy and adoption across the organisation.