331 jobs
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.
Palantir Technologies New York, United States US$145,000 – US$200,000 pa
Owns end-to-end services for deploying and serving ML models across air-gapped government networks, edge nodes, and data-sovereign enterprises with constrained GPUs. Work spans inference engines, GPU scheduling, packaging and deployment pipelines, observability, and integration with Palantir's platform, using Java, Rust, Python, Go, Docker and Kubernetes.
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.
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.
Comtecs London £90,000 – £110,000 pa
Owns the target-state integration architecture across iManage Cloud, Elite 3E Cloud, Intapp Cloud and Microsoft 365/Azure, defining integration patterns, APIs and data flows between document, practice management, finance, risk and time systems. Also sets data architecture, governance and lifecycle standards, designs Azure IaaS/PaaS and hybrid solutions, and provides architectural leadership to internal teams and vendors.
Coburg Banks London £75,000 – £90,000 pa
Hands-on role building and maintaining data pipelines that ingest, clean and standardise transport data from APIs, GIS files and spreadsheets. You will design spatial models in PostgreSQL/PostGIS covering parking bays, traffic restrictions and congestion zones, and develop geofencing and location-recognition models, with occasional field verification via GNSS surveys across London.
First Military Recruitment United Kingdom
Leads the design and implementation of complex data flows, pipelines and integrations to support an enterprise AI buildout, setting data engineering best practices and ensuring data readiness and security. Bridges technical engineering partners and business leads, translating data risks into clear choices for stakeholders. Requires SC clearance and works remotely on a contract until 30/04/2027.
hireful Bristol £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. Works with Finance, Product, Sales, Marketing and Engineering stakeholders to enable trusted self-service data, and mentors a junior engineer in a small, high-impact team.
Nurseplus Nottingham
Own the cloud data environment, pipelines and architecture, working with a Lead Technology Architect to build scalable storage, automated ETL/ELT integrations and layered data models. Also covers database performance tuning, data governance, security, BI semantic models and API development, with a remote-first pattern and occasional on-site collaboration.
Rise Technical Recruitment London £35,000 – £50,000 pa
Hands-on role developing and maintaining software with Python, Go and TypeScript, processing and validating live and historical sports datasets, and supporting AWS cloud infrastructure and production systems. Works closely with experienced engineers on SQL databases, troubleshooting and technical projects within the sports and betting sector.
Real Berkshire £500 pd
Hands-on Data Engineer to design and build pipelines and data models on a greenfield Microsoft Fabric platform, supporting the end-to-end implementation of a new enterprise data environment. Involves shaping architecture, integration processes and best practice while working closely with business and technical stakeholders.
Matchtech Surrey £50,000 – £75,000 pa
Design, build and run scalable batch and streaming data pipelines and data models that turn complex sensor and geospatial sources into reliable datasets for analytics and machine learning. Work across Azure plus edge and on-prem deployments with data scientists, analysts and platform engineers in a Kanban team, supporting embeddings and LLM-enabled conversational analytics.
Harnham - Data and Analytics Recruitment Hounslow £100,000 – £110,000 pa
Lead enterprise-scale data engineering initiatives, combining hands-on technical leadership with mentoring Data and Senior Data Engineers. Drive design, build and operation of secure, scalable data pipelines and products, define engineering standards and automated testing, and improve platform reliability, observability and cost efficiency. Includes participation in an on-call rota supporting business-critical data products.
Harnham - Data and Analytics Recruitment London £110,000 pa
Lead technical direction across a modern cloud data platform built on AWS, Snowflake and dbt, staying hands-on while unblocking engineers on complex issues. Combines mentoring a team of engineers with influencing senior stakeholders and shaping engineering standards in a federated data model.
