379 jobs
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.
TXP London £450 – £500 pd
Designs and implements a data migration and integration approach between an Azure SQL source system and Salesforce. Requires strong Azure SQL, Python, ETL, Salesforce REST API and batch (CSV) processing skills, with immediate availability for a short-notice start. The contract runs in three-month phases, with one to two days per week in London.
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.
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.
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.
Harnham - Data and Analytics Recruitment Windsor £50,000 – £60,000 pa
Builds and maintains data models supporting reporting, analytics and machine learning, improving data quality and reconciliation across fragmented source systems. Works on a Snowflake-based platform, creates Power BI dashboards and develops forecasting and predictive models in Python, with exposure to AI and ML applications such as document processing.
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 £120,000 – £150,000 pa
Senior architectural role shaping enterprise-scale data architecture across AWS during a major modernisation programme. You will define standards and reusable patterns, design batch and streaming solutions, and guide engineering teams on Spark, PySpark, AWS Glue and Airflow while influencing senior stakeholders in a regulated environment.
SF Partners Birmingham £70,000 – £80,000 pa
Hands-on engineering role focused on developing and optimising Microsoft Azure and Microsoft Fabric platforms within a professional services organisation undergoing major transformation. Involves introducing automation, improving platform performance, resilience and cost optimisation, and establishing infrastructure and operational practices for growing data and analytics capabilities, while influencing technical standards and working with business stakeholders.
