142 jobs
CBSbutler Holdings Limited trading as CBSbutler London £85,000 – £115,000 pa
Develops and maintains high-performance, data-driven applications using KDB+/q and Python, building and optimising data pipelines and time-series solutions. Works on query performance, data processing and system efficiency, troubleshooting issues and collaborating with technical teams. Financial services or capital markets background is preferred.
Investigo Egham £85,000 – £95,000 pa
Own and evolve a global Snowflake platform already live across multiple countries, combining hands-on engineering with platform strategy, standards and governance. Work with data teams in the UK, US and Europe on international rollouts, AWS and dbt adoption, and CI/CD practices, while managing third-party vendors and delivery partners.
Click Digital Guildford £66,000 pa
Lead data engineering for a large organisation, shaping an enterprise-level cloud data platform that supports reporting, advanced analytics and future AI. Design and maintain pipelines, data models and governance controls using SQL, Python, Azure and Databricks, while mentoring an Analytics Engineer and influencing data strategy with senior stakeholders.
Parkside London £100,000 – £150,000 pa
Lead the development of AI features in a legal tech SaaS platform, building ML models for document parsing, search, classification and summarisation. Integrate LLMs with guardrails, evaluation and monitoring, and optimise model serving on AWS. Work hands-on in Scrum squads alongside engineering, product and QA.
Click Digital Manchester £63,000 pa
Lead data engineering for a large organisation, shaping an enterprise cloud data platform that supports reporting, advanced analytics and future AI. You'll design pipelines and data models using SQL, Python, Azure and Databricks, set engineering standards, and manage an Analytics Engineer while influencing data strategy with senior stakeholders.
Michael Page Leeds £40,000 – £48,000 pa
Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure.
Hays Technology London £100,000 – £110,000 pa
Hands-on role building the backend services, APIs and data integrations behind a new AI layer for an investment management platform. Involves LLM application work such as agent workflows, tool use and RAG, plus security controls, automated tests and AI evaluations, monitoring accuracy, latency and cost in production. Works alongside a Frontend Engineer and product colleagues, releasing iteratively.
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.
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.
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.
