240 jobs
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.
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.
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.
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.
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.
WeDoTech London £800 – £1,000 pd
A hands-on Staff-level role leading a major data estate modernisation for a UK financial services organisation, migrating large-scale pipelines and building new data products. You will shape architecture and engineering patterns while remaining deeply involved in Python, PySpark, Spark, AWS Glue and Airflow, and champion AI-assisted development across multiple teams.
Harnham - Data and Analytics Recruitment Nottingham £60,000 – £65,000 pa
Builds and scales a Microsoft Fabric data platform as the central source of truth for reporting and analytics. Develops Bronze, Silver and Gold architectures, integrates data into Lakehouse environments, and creates pipelines with Python, SQL and PySpark. Works with a Lead Data Engineer and a team spanning engineering, governance and analytics.
Harnham - Data and Analytics Recruitment Abingdon US$200,000 – US$225,000 pa
Builds scalable data platforms, pipelines and ML infrastructure, and deploys production AI solutions including LLMs, RAG systems and AI agents. Works in a small, highly visible team partnering with investment and operational stakeholders, owning projects end-to-end from design through production and driving architecture decisions.
Tenth Revolution Group Bampton £90,000 – £110,000 pa
Hands-on senior role designing and building scalable data platforms and pipelines that power analytics, machine learning and AI systems for enterprise clients. Involves Data-as-a-Service capabilities, secure data services and APIs, plus governance, lineage and observability best practices, with scope to build and lead a wider data function.
Tenth Revolution Group London £75,000 – £110,000 pa
Lead customer-facing Microsoft Fabric and Azure Data Platform engagements, running discovery workshops, shaping data strategy and designing modern Lakehouse architectures. Combines technical leadership, pre-sales input and mentoring of consultants within a growing Data & AI practice, while remaining hands-on with SQL, Python and tools like Data Factory and Synapse.
