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 · New York, United States · US$135,000 – US$145,000 pa

New-grad engineers embed directly with customers on the Warp Speed team, working from factory floor to board room to understand problems and build data-driven solutions. Day to day involves architecting custom applications, wrangling massive-scale data with AI, and owning projects end to end in small agile teams, with up to 25% travel to client sites.

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

Owns end-to-end data science work spanning machine learning, AI, forecasting and business-critical analytics. Builds and optimises data models, scalable pipelines and Power BI dashboards on cloud platforms such as Snowflake, while translating stakeholder requirements into data-driven solutions and presenting findings to technical and non-technical audiences.

Harnham - Data and Analytics Recruitment · London · £100,000 – £120,000 pa

Own the design, build and delivery of a modern enterprise cloud data platform for a large UK financial services organisation, leading migration off legacy environments. Responsibilities span platform strategy and architecture, building and scaling a data engineering function, supplier management, and embedding governance, security and data quality standards in a regulated setting.

Matillion · San Francisco, United States · 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 allies on territory strategy, and works cross-functionally with product and solution architecture. Quota-carrying role using MEDDIC or value-selling methods on large enterprise contracts.

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.

Syntax Consultancy · Leeds · £60,000 – £65,000 pa

Hands-on Data Engineer maintaining production data pipelines on Databricks and AWS, combining L2/L3 production support with engineering work. Responsibilities include incident investigation, root cause analysis, remediation, and performance troubleshooting across Spark, Delta Lake, and AWS services. Part of a large-scale Government project, working primarily from home with occasional Leeds office travel.

Snowflake · London

Build revenue pipeline by setting and leading discovery calls, qualifying use cases with target personas, and performing account research to grow Snowflake's footprint in EMEA's largest accounts. Work closely with Global Account Managers, Solution Engineers and Marketing on a multi-channel pipeline strategy, attending sales meetings, trainings and local trade shows.

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.

Deerfoot Recruitment Solutions · Hertfordshire · £50,000 – £55,000 pa

Build a new Azure data platform from scratch for a UK group, working end to end from stakeholder requirements through data modelling to pipeline delivery. Develop metadata-driven pipelines in Python and PySpark across Synapse, Data Factory and PostgreSQL, support BI users and join an out-of-hours rota.

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.

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.

VolkerWessels · Ware

Lead the Data & Analytics strategy for a major civil engineering and construction group, building a high-performing team and modern cloud data ecosystem. Own data governance, MDM, and Power BI environments while acting as senior technical authority across Microsoft Fabric, Databricks, SQL, DAX and ETL pipelines. Distinct for combining strategic leadership with hands-on delivery to support future AI ambitions.

Inventum Group · London · £130,000 – £150,000 pa

Lead Product Control across complex derivatives and structured products, owning daily P&L, IPV, valuation adjustments and month-end close. Distinct for its transformation focus: automating manual workflows with data engineers, applying Python, SQL and analytics to build scalable controls and dashboards while partnering with Front Office and Risk.