Data Engineering Jobs

Palantir Technologies · Sydney, Australia

Forward Deployed Software Engineers embed with government customers to understand open-ended problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive briefings. Interns work in small teams with minimal supervision and own end-to-end delivery of high-stakes projects, using languages such as Python, Java, C++ or TypeScript.

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

Own the full enterprise sales cycle for an AI data automation platform, from self-sourced pipeline through six-figure closes. Partner with SDRs, marketing and channel allies on territory strategy, and work cross-functionally with product and solution architecture. Quotas exceed $1M ARR with MEDDIC or value-selling methods.

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

Owns the full enterprise sales cycle, from self-sourced pipeline through closing six-figure deals and onboarding new customers. Partners with SDR, marketing, channel and solution architecture teams to build territory strategy, while using MEDDIC or value-selling methods to translate technical challenges into business value.

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

Builds a modern analytics capability from the ground up, designing scalable data models in a cloud platform and improving data quality, standardisation and reconciliation across fragmented source systems. Develops forecasting, machine learning and predictive models, supports AI document processing, and creates Power BI dashboards for senior leadership, working with Snowflake in a small collaborative team.

Palantir Technologies · Washington, United States · US$10,000 pm

Interns deploy and operate Palantir software across production environments, handling monitoring, alerting, configuration management and upgrades. They debug distributed systems, automate manual runbooks and build infrastructure solutions using Foundry and Apollo, working in small teams with real ownership.

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

Builds and maintains scalable data pipelines using Azure Data Factory and Databricks, integrating data from finance, HR and operational systems. Develops a lakehouse architecture with Kimball and star-schema models, and supports the Power BI reporting layer including semantic models and DAX. Joins an early-stage data function, shaping standards and working closely with business stakeholders.

ClickHouse · United Kingdom

Design and build complex, data-heavy user interfaces for the ClickPipes data ingestion platform, owning customer-facing workflows end-to-end at petabyte scale. Strong frontend focus with React and TypeScript, but engineers work across the stack on backend services, APIs and system integrations, plus an on-call rotation.

Grafana Labs · United Kingdom · £103,958 – £124,750 pa

Builds and operates multi-tenant SaaS databases (Mimir, Loki, Tempo, Pyroscope) across AWS, GCP and Azure, writing production code and automation to make them self-healing and scalable. Owns the SLO framework, leads incident response and customer bridge calls for highest-SLA customers, and sets technical direction across squads. Includes weekday 12-hour on-call shifts and a weekend rotation roughly every six to eight weeks.

eFinancialCareers · London · £45,000 – £70,000 pa

Design, build and maintain scalable data pipelines and cloud-based data platforms on AWS, working with data architects, scientists and analysts to turn complex data into reliable, accessible information. Combines hands-on engineering with technical leadership, shaping data solutions and guiding delivery across national security, government and public-sector environments.

Avanti Recruitment · Manchester · £60,000 – £100,000 pa

End-to-end data architecture role owning the full data lifecycle, from ingestion to consumption, across secure client environments. Involves designing lakehouse and medallion architectures, defining batch and streaming pipelines, and making decisions on storage, orchestration, governance and security. Cloud-agnostic, working with AWS, Azure or GCP alongside Databricks, Snowflake, Spark and Kafka.

Opus Recruitment Solutions · London · £500 – £525 pd

Hands-on contract role migrating a large legacy ETL estate of several thousand Ab Initio batch jobs to a serverless AWS data platform. You'll define migration patterns, convert Ab Initio transformations into scalable PySpark, and deliver production-ready AWS Glue solutions, with heavy Spark performance tuning across S3, Athena and serverless pipelines in a financial services cloud transformation programme.

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 · London

Business-facing product role owning the roadmap, requirements and priorities for a portfolio of investment data products, acting as the link between business stakeholders and data engineering, analytics and AI teams. Involves demand intake, defining data contracts and quality rules, prioritising backlogs, and driving adoption of trusted, reusable and AI-ready data products across Asset Management.

1TECH STAFFING LIMITED · Coventry · £45,000 – £50,000 pa

Develops, integrates and supports business-critical systems in a regulated environment, covering application development, APIs, SSIS/ETL processes and databases. Also builds web-based applications and secure portals, handling testing, troubleshooting and maintenance within formal quality and change-control processes. Works with internal teams and third-party providers.

Tenth Revolution Group · London · £50,000 – £60,000 pa

Builds and leads production-grade Snowflake solutions in cloud environments, working hands-on with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables. The role sits in a consulting transformation practice, combining strong SQL and Python engineering with CI/CD, Terraform, automated testing and data observability, plus stakeholder engagement to deliver governed, AI-ready data.