Data Engineering Jobs

Humanoid · London

Build an internal data platform from the ground up, defining architecture for petabyte-scale robot telemetry pipelines, compute infrastructure and orchestration. Work spans backend services, data warehousing, BI dashboards and MLOps evaluation workflows, collaborating closely with machine learning teams on humanoid robot training data.

Opus Recruitment Solutions · Newcastle upon Tyne · £600 pd

A Data Architect role on a New Style Modernisation project, bridging data stakeholders, theme teams and Dataworks to define data structures, processes and systems. Responsibilities include data modelling, MDM, metadata management, data governance and event-based architecture, ensuring data flows meet National Statistics and auditing requirements. Mostly remote with three to four days a month on-site in Newcastle.

WHD · Haywards Heath · £40,000 – £60,000 pa

Own the end-to-end migration of legacy Microsoft Access databases to a modern stack, auditing schemas and VBA logic, designing the target database, and writing Node.js ETL pipelines. Also builds RESTful or GraphQL APIs in Express/NestJS with TypeScript and writes unit and integration tests to validate migrated data and business rules.

Opus Recruitment Solutions · London · £600 – £650 pd

Design and build scalable Snowflake data pipelines and cloud-native platforms on AWS, including resilient document ingestion for unstructured healthcare records. Develop ETL frameworks to transform clinical data into analytics-ready datasets while meeting GDPR and healthcare governance standards, using Snowflake Cortex, Python, SQL, dbt, Airflow and Terraform.

TRIA · London · £70,000 – £78,000 pa

Lead data specialist owning the organisation's Snowflake platform, designing and optimising ETL/ELT pipelines and integrations across multiple business systems. Defines data architecture, governance and security standards while shaping the long-term data roadmap with senior technology leadership. A hands-on role building a modern data capability in-house, with mentoring responsibilities but no large existing team.

Elastic · United Kingdom

Consulting architect delivering Elasticsearch and Lucene solutions to UK public sector clients, combining hands-on solution design, data modelling, cluster tuning and proof-of-concept development with strategic stakeholder engagement at senior government levels. Requires existing or obtainable UK security clearance and involves a high percentage of on-site customer work and travel.

Datatech · London · £80,000 – £90,000 pa

Build and lead a new data engineering function at a scaling AI-powered SaaS business, owning engineering standards, tooling and delivery practices. Stay hands-on with SQL transformation pipelines, Python orchestration, data modelling, CI/CD and production reliability, while line-managing and developing engineers and integrating AI outputs into production pipelines.

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.

Palantir Technologies · Palo Alto, United States · US$10,000 pa

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

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.

Salt Search · London · £70,000 – £100,000 pa

Administer, maintain and optimise Linux server environments across production and development platforms, managing VMware vSphere/ESXi infrastructure and building automation with Ansible and Bash. The role sits in a specialist security team supporting a secure, large-scale big data platform for a UK critical national infrastructure programme, using DevOps methodologies to deliver continuous improvements. It is predominantly on-site and requires active DV clearance.

Salt Search · Reading · £70,000 – £100,000 pa

Administer, maintain and optimise Linux server environments across production and development platforms, managing VMware vSphere/ESXi infrastructure and building automation with Ansible and Bash. The role supports a secure, large-scale big data platform for a UK critical national infrastructure programme, working within a specialist security team using DevOps and CI/CD methodologies.

eFinancialCareers · London · £120,000 pa

Builds core trade lifecycle, settlement, finance systems and regulatory reporting platforms for an investments client, replacing manual and batch processes with an event-driven, real-time architecture. Works across Java, Python, Spring Boot, Kafka, PostgreSQL and AWS microservices, with genuine influence over design decisions in a growing team.

eFinancialCareers · London · £600 – £700 pd

Shapes future-state architecture across a data platform landscape, leading build vs. buy assessments and providing strategic direction to delivery and technology teams. Supports the transition from current to target-state architecture, resolving conflicts and dependencies while weighing low-code/no-code and AI trends. Requires banking and enterprise data platform expertise.