Data Engineering Jobs

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.

Matillion · Manchester · £84,160 – £126,240 pa

Owns complex Maia rollouts end to end, running discovery, architecting multi-cloud deployments and writing production-grade code, including modifying Matillion's own product codebase where features are missing. Acts as a cross-functional escalation point across Sales, Product and Customer Success, mentors junior FDEs and works agentic-first with AI tools.

Palantir Technologies · London

Builds frontend tooling and data-intensive interfaces for Palantir Foundry, working with TypeScript, React, GQL and Blueprint to create low-code/no-code WYSIWYG tools. Engineers own APIs and schemas, interview users, and may join a short-term Frontline rotation embedded with customers.

Palantir Technologies · London

Backend engineers on Palantir's infrastructure teams build the lowest layers of the software stack, spanning database technologies, distributed systems, large-scale data, security and application infrastructure. Day-to-day work includes designing opinionated APIs, tracing performance in high-scale microservice architectures, and automating systems like Cassandra, Elasticsearch and Kafka using Java, Rust and Go.

Matillion · Manchester · £76,000 – £114,000 pa

Owns a core area of an AI agent for data engineering end to end, defining problems, prioritising trade-offs and driving measurable impact. Builds evals to hold agentic behaviour to a high bar, reasons with Engineering about models, context, MCP and orchestration, and partners with Design and GTM. Uses AI tools actively across research, synthesis, prototyping and analysis.

Harnham - Data and Analytics Recruitment · Leeds · £50,000 pa

First dedicated data engineering hire in a growing data function, designing and maintaining scalable ETL/ELT pipelines and integrating internal and external sources including APIs. Builds and optimises data models for analytics and customer insight, working in cloud environments and helping evolve Microsoft Fabric capabilities alongside data science and analytics teams.

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.

Elastic · United Kingdom

Owns the end-to-end security telemetry pipeline, ingesting cloud, identity, endpoint and asset data into Elasticsearch and keeping the underlying Elastic Cloud on Kubernetes clusters healthy. Builds custom and Elastic integrations, manages ILM, CCS, capacity and shards, and uses Terraform, Helm and AI-assisted automation to reduce operational toil.

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.

Oliver James · East Sussex · £70,000 – £75,000 pa

Owns business-critical MI including legacy Excel/VBA reporting, then modernises it into governed Power BI, Power Query and Power Automate solutions. Supports a data platform programme introducing Databricks, Ataccama and Timbr, focusing on data validation and mapping, and acts as a senior voice coaching colleagues in a team of eight.

Marks Sattin · London · £65,000 – £70,000 pa

A technology-focused Business Analyst role supporting front-office systems, digital transformation, data and analytics platforms, cloud technologies and enterprise applications. The position spans the full project lifecycle, from requirements gathering and solution design through testing, implementation and continuous improvement, working across multiple projects and stakeholder groups in a complex commercial and trading environment.

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.

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.