Data Engineering Jobs

Palantir Technologies · Kitsap, WA · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed with government 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 coding and executive briefings, with end-to-end ownership in small, lightly supervised teams.

ClickHouse · United Kingdom

Owns the collection, storage and serving of metrics from customer ClickHouse instances, building and operating a petabyte-scale platform that handles trillions of records and millions of events per second. The stack is Golang, Kubernetes and ClickHouse, with work spanning billing data pipelines, customer dashboards, reliability, cost-efficiency and on-call, in a fully remote, globally distributed team.

Harnham - Data and Analytics Recruitment · London · £75,000 – £90,000 pa

Builds and optimises automated email journeys, remarketing campaigns and conversion tracking for a growing InsurTech business. Works hands-on with JavaScript/Node.js, SQL, BigQuery, Salesforce and AWS to create audiences, API integrations and reliable marketing automations, translating commercial requirements into technical solutions alongside marketing and engineering.

Real · United Kingdom · £600 – £700 pd

Lead data architecture across multiple transformation programmes at a university, producing architecture artefacts, standards and documentation. Design and assure data flows, integration patterns and system mappings, and support data governance frameworks and operating models. Involves facilitating workshops, presenting to Architecture Boards, and handing over to a permanent Data Architect.

ClickHouse · United Kingdom

Owns reliability, availability and scalability of ClickHouse Cloud, building SLOs/SLAs, monitoring and alerting across data plane, control plane and core. Leads incident response, blameless post-mortems and chaos engineering, and develops Go/Python tooling to improve operational efficiency. Works across engineering, security, support and operations teams, with on-call responsibilities.

Matillion · Manchester

Lead technical architecture and design for the Maia AI team, building agentic AI systems, tools and integrations while using evals to validate performance as models evolve. Mentor engineers, shape strategy with the Product Manager and Data Science team, and work with Java, AWS distributed systems and optionally React, TypeScript and Langchain/Langgraph.

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.

Profile 29 · London · £50,000 – £70,000 pa

Design, build and operate resilient AWS cloud infrastructure for public-sector casework and AI orchestration platforms, working across platform and delivery teams. The role spans Terraform and Kubernetes, CI/CD pipelines, Kafka event-driven systems, IdAM with Keycloak, and observability stacks, with a strong DevSecOps and automation focus plus incident response duties.

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.

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.

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

Hands-on data engineering lead designing scalable, AI-ready data platforms and architectures across an investment firm's portfolio. Combines building end-to-end infrastructure in SQL and Python with advising C-suite teams on data strategy, prioritisation and commercial impact, working tech-agnostically across varied environments.

Dns Info Ltd · London · £350 – £450 pd

Day-to-day work centres on designing and maintaining data warehousing and data modelling solutions — star, snowflake and data vault patterns — plus producing data dictionaries and models managed through Bitbucket and Liquibase deployments. The role sits with a banking and trade management focus, covering vanilla macro, credit and securitisation products, and requires AI-driven development alongside Sybase, Oracle, Postgres, some Python and basic AWS.

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

Backend-focused role on the Grafana Alerting squad, working at the core of the open-source Grafana project and the SLOs product. Engineers design, build and operate distributed systems that scale Prometheus-based alert ingestion, evaluation and delivery, including systems reaching over 500 evaluations per second in production, with on-call ownership and mentoring duties.

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.

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.