377 jobs
Amtis Professional Birmingham £40,000 – £45,000 pa
Builds and develops a central data platform supporting reporting, analytics and emerging AI use cases. Covers the full data lifecycle: ingesting from internal and external sources and APIs, ETL/ELT transformation, data modelling and database design, plus Power BI dashboards. Works in a Microsoft Fabric/Azure stack with SQL, Python and Git in a collaborative team.
EF Recruitment London £250 – £260 pd
Joins a global SaaS client's Customer Success Data Science team on a 10-month contract, building data pipelines, metric definitions and governance with engineering. Creates scalable dashboards, runs root-cause and A/B test analysis, and applies Gen AI tools to automate insight generation and anomaly detection. Hybrid role with three days a week in the London office.
Synapri London £460 – £470 pd
Hands-on role building and optimising scalable ETL/ELT pipelines with Databricks, Python, SQL and Oracle, supporting migration of legacy data assets into modern cloud platforms for a large banking organisation. Delivered through a consultancy on a major data transformation and cloud modernisation programme, with work in a highly regulated environment covering data quality, performance and production support.
Siamo Recruitment a division of Siamo Group Cirencester £35,000 – £36,000 pa
Lead the design, maintenance and optimisation of a college's database infrastructure, building and managing ETL processes, system integrations and data flows while monitoring performance, security and integrity. Work on site within a multi-skilled IT team of 450 staff, supported by the Head of IT and a third-party database consultant, ensuring GDPR and data governance compliance.
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.
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.
Palantir Technologies New York, United States US$145,000 – US$155,000 pa
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 including Apache Spark, DataFusion, and Iceberg, taking changes through design, code review, testing, and release. Correctness, compatibility, and predictable performance are central to the work.
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.
