292 jobs
Tenth Revolution Group London £90,000 – £110,000 pa
Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and secure data services and APIs that power analytics, machine learning and AI products for enterprise clients. Works across product, engineering, data science and leadership, setting standards for data quality, governance, lineage and observability, with scope to build and lead a wider data function.
Tenth Revolution Group Bradford £90,000 – £110,000 pa
Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and secure data services and APIs that power analytics, machine learning and AI products for enterprise clients. Works closely with product, engineering, data science and leadership, setting standards for data quality, governance, lineage and observability, with scope to build and lead a wider data function.
Palantir Technologies New York, United States US$10,500 pm
Works deep inside the data processing infrastructure behind Palantir Foundry, covering query plan optimization, operator execution, and efficient data reads and writes. Extends open-source engines and table formats such as Apache Spark, DataFusion, and Iceberg, shipping changes through design, code review, testing, and release. An internship for candidates graduating in 2028.
Harnham - Data and Analytics Recruitment Oxford £65,000 – £75,000 pa
Lead the development of a greenfield AWS capability while supporting an existing Azure estate, acting as the AWS subject matter expert. Hands-on work spans architecture, Landing Zones, governance, Terraform IaC, CI/CD pipelines with GitHub Actions and Azure DevOps, plus automation, security and mentoring junior engineers.
Harnham - Data and Analytics Recruitment London £90,000 – £110,000 pa
Defines and evolves the architecture of a modern cloud-based data platform, providing technical leadership across data platform and engineering teams. Designs scalable, secure data solutions and champions DataOps practices including CI/CD, testing, monitoring and automation, while guiding ETL/ELT implementation and AI-enablement initiatives.
Palantir Technologies London
Build, operate and maintain high-performance, scalable services across Palantir's platforms and government deployments, handling monitoring, configuration management, upgrades and migrations. Debug and optimise production infrastructure, automate manual workflows, and share on-call responsibility for critical systems, coding in Java, Python, Go or similar.
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.
TEKsystems London £300 – £370 pd
Documents and redesigns a complex, high-volume transactional platform for a large payments company, producing conceptual, logical and physical data models and defining data standards. Works closely with developers and engineers to implement OLTP and system-of-record database architecture, with a focus on relational technologies such as PostgreSQL, Oracle or SQL Server.
Noir Manchester £60,000 – £75,000 pa
Design and implement robust data pipelines and configure Quantexa components while leading the technical development of Quantexa-based solutions for established clients. Work with Spark, Scala and Python Databricks, with exposure to DevOps and CI/CD tooling such as Jenkins, GitHub Actions, Azure DevOps, Docker and Kubernetes. Hybrid role in Manchester supporting client data engineering and integration engagements.
Noir Birmingham £60,000 – £75,000 pa
Design and implement robust data pipelines and configure Quantexa components while leading the technical development of Quantexa-based solutions for established clients. Work with Spark, Scala and Python Databricks, with exposure to DevOps and CI/CD tooling such as Jenkins, GitHub Actions, Azure DevOps, Docker and Kubernetes. Hybrid role in Birmingham supporting client data engineering and integration engagements.
Data Idols London £500 – £650 pd
Design, develop and optimise scalable data pipelines and cloud-based data warehousing solutions, improving platform performance, reliability and scalability. Work with Data and Analytics Engineers on ETL/ELT processes, data architecture and reusable data solutions, with GCP and BigQuery highly desirable alongside Python and SQL.
Randstad Technologies Recruitment London £500 – £600 pd
Client-facing consulting role advising pharmaceutical stakeholders on Snowflake architecture and enterprise data governance. You will implement Snowflake Cortex AI and Write-Back, build Collibra cataloging, lineage and GxP-compliant policies, and integrate Collibra with GitHub to parse dbt and LookML lineage via custom APIs.
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.
