329 jobs
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.
Palantir Technologies Palo Alto, United States US$145,000 – US$200,000 pa
Own end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereign environments with constrained GPUs. Work full stack across inference engines, GPU scheduling, Kubernetes packaging, deployment pipelines, and observability, debugging issues in systems you cannot always access directly.
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.
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.
Circle Recruitment Dudley £65,000 – £85,000 pa
Technical owner of a Microsoft Fabric data platform, building and maintaining data pipelines, ETL/ELT processes and integrations from APIs, flat files and ERP systems. Works with Finance, Commercial and BI teams to shape data architecture during a major Fabric migration, with Databricks, Azure data lakes and warehousing in the stack.
Tenth Revolution Group London £50,000 – £60,000 pa
Builds and evolves a modern cloud-based data platform, designing scalable Snowflake pipelines and ETL/ELT processes in SQL and Python. Creates data models supporting reporting, analytics and emerging AI use cases, while optimising workloads for performance and cost. Works in a collaborative engineering team with AWS, Azure or GCP, integrating data from multiple source systems.
Deerfoot Recruitment Solutions United Kingdom £90,000 – £115,000 pa
Designs and delivers secure, scalable cloud-native data platforms across AWS, Azure and GCP for enterprise clients, leading migrations to Snowflake, Databricks, BigQuery, Synapse and Redshift. Builds PoCs and MVPs for AI and advanced analytics, automates infrastructure with Terraform and CI/CD, and advises senior stakeholders on data strategy, Data Mesh and Data Fabric architecture.
Additional Resources Alloa
Day-to-day work centres on managing and analysing operational data from renewable energy assets, including SCADA telemetry, to monitor output, availability, downtime and faults. You will build Python-based models and automated pipelines, create dashboards and reports, and check contractor performance against contractual KPIs. The role also involves troubleshooting data infrastructure such as networks, VPNs and industrial routers.
Matillion Hyderabad, India
You'll work in a small cross-functional team writing, testing and releasing new features and fixing problems across Matillion's data automation products, from design through CI/CD deployment to ongoing production support. The stack spans Java, Spring microservices, React, GraphQL, Docker, Kubernetes and AWS, with code reviews, research projects and mentoring built into the role.
Tenth Revolution Group London £70,000 – £85,000 pa
Builds and maintains scalable data pipelines in Databricks, developing batch and streaming workflows and designing Lakehouse architectures with medallion models. Works alongside data scientists, analysts and product teams in a cloud-first Azure environment, implementing data quality, governance and observability frameworks while driving engineering best practice through code reviews.
Adria Solutions Manchester £70,000 – £90,000 pa
Hands-on lead role owning an existing data estate and building a modern, scalable platform supporting BI, Data Science and Applied AI. Involves modernising SQL Server, SSIS and Power BI, developing batch and real-time processing, lakehouse architecture on AWS, and line-managing a small team of Data Engineers.
