420 jobs
Emponics Bristol £80,000 – £130,000 pa
This role involves owning the data infrastructure for AI deployments, integrating AI solutions into existing business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to build and maintain the technical backbone that supports AI tooling, including data pipelines, APIs, and system integrations.
J&J Search Bath £80,000 – £100,000 pa
Owns the enterprise data strategy and roadmap for a UK wealth management group, defining architecture and leading the technical build of a data warehouse, lake and pipelines. Combines governance, data quality and lineage work with hands-on engineering in Microsoft Fabric and Azure, partnering with the IT Director and senior stakeholders across multiple group businesses.
Vaerdi Recruitment Limited London £750 pd
Hands-on lead architecture role shaping data architecture for a major financial services technology programme. Involves designing scalable, distributed data solutions, developing complex data models, and applying Domain-Driven Design, with heavy use of NoSQL technologies, particularly Cassandra. Provides architectural direction while remaining technically hands-on, working closely with technical teams.
Socium Recruitment Manchester £90,000 – £100,000 pa
Owns the data engineering strategy, architecture and roadmap for an established online business, leading a team of ten through a migration from on-prem SQL to Azure. Sets engineering standards across data modelling, pipelines, governance and automated deployments, and makes the calls on tooling, budget and suppliers while reporting into the C-suite. Microsoft Fabric adoption and practical AI use are open questions the role holder will shape.
Head Resourcing Falkirk £60,000 – £70,000 pa
Leads data modelling, transformation and governance to turn data into trusted insights for operational and commercial decisions. Builds scalable data solutions using SQL, dbt, Power BI semantic models and a modern cloud platform such as Databricks, while managing stakeholder and vendor relationships to support a five-year data plan.
hireful West Yorkshire £80,000 – £90,000 pa
Owns the design and build of scalable data pipelines and data products on Databricks using PySpark, Spark SQL and Delta Lake, plus ETL/ELT optimisation and enterprise data architecture. Partners with Finance, Product, Sales, Marketing and Engineering to enable trusted self-service data, embeds governance and quality, and mentors a junior engineer in a small, high-impact team.
Forsyth Barnes United Kingdom £50,000 – £65,000 pa
Hands-on role designing, building and scaling an AWS-native data platform, migrating data from a large on-premise estate into the cloud. Involves building ingestion frameworks using CDC, event-driven and batch patterns, ETL/ELT with Python and SQL, plus data modelling, governance and observability. Also provides technical leadership and mentoring while remaining hands-on.
Source United Kingdom £44,000 pa
Develop analytical outputs, reports and statistical publications, and build dashboards and visualisations that support evidence-based decisions. Analyse customer, market and operational data, automate reporting processes and strengthen data quality controls, while exploring AI and emerging technologies. Acts as deputy to the Senior Data Analyst and works with stakeholders across the organisation.
Palantir Technologies New York, United States US$100,000 – US$145,000 pa
Builds and maintains data pipelines, reporting datasets and dashboards that support Recruiting and Hiring Operations, integrating systems such as Lever, Workday and Foundry. Works cross-functionally with recruiters, data, security and privacy partners, moving between pipeline work, integration debugging, documentation and stakeholder enablement.
ClickHouse United Kingdom
Conduct applied research on open-source database systems like ClickHouse and PostgreSQL, focusing on query optimization, execution engines, distributed systems, indexing, and emerging agentic workloads. Design and evaluate new algorithms and prototypes, analyze production workloads, and work with engineers to ship improvements, with encouragement to publish at venues such as SIGMOD and VLDB.
ClickHouse United Kingdom
Leads the team building and operating ClickHouse Managed Postgres, owning provisioning, high availability, backup and recovery, upgrades, observability, performance and security. Combines people leadership, technical direction and product thinking, partnering with Product, Design, Infrastructure and Security across a distributed organisation. Also involves hiring and coaching engineers and working directly with customers.
Noir London £60,000 – £80,000 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 London supporting client data engineering and integration engagements.
Palantir Technologies Washington, United States US$145,000 – US$200,000 pa
Owns model-serving infrastructure end-to-end, building high-performance inference systems that run across air-gapped government networks, edge nodes and data-sovereign enterprises. Works across the full stack from GPU scheduling and container orchestration to deployment pipelines and observability, using Java, Rust, Python and Go with Docker and Kubernetes.
Grafana Labs United Kingdom £123,000 – £148,000 pa
Customer-facing product expert partnering with Sales to run demos, technical evaluations and enablement for Grafana Cloud prospects. Owns the technical engagement to close complex observability deals, feeding customer insight back to Product and Engineering. Requires 5+ years of technical pre-sales and UK location.
WeDoTech London £100,000 – £140,000 pa
Hands-on Staff-level role leading a large-scale data engineering modernisation, migrating thousands of pipelines across AWS. You'll stay deeply technical in Python, PySpark and Spark, shape scalable frameworks and standards, and champion AI-assisted development across multiple engineering teams.
