Latest UK roles, updated daily.
Design and build scalable data pipelines using Palantir Foundry and Gotham to integrate complex, multi-source data for government programmes. Develop ETL workflows, automate data transformations, and deliver actionable insights in mission-critical environments. Work within Agile, cross-functional teams to translate client needs into robust, production-grade data solutions.
The role involves leading enterprise data architecture assessments, mapping systems and data flows, and identifying risks and inconsistencies. It focuses on defining data models, improving integration patterns, and enabling data readiness for AI. The architect will work across teams to align data strategy with business needs and improve data quality and traceability.
Lead and coach a team of enterprise account executives focused on the Energy & Utilities and Telco sectors, driving sales growth and strategic account development within Databricks' UKI region. Develop territory plans, sales forecasts, and cross-functional GTM strategies while fostering technical and value-based selling capabilities. Build deep customer relationships and expand Databricks' footprint through consumption-driven revenue models in a high-growth AI and data platform environment.
This role involves leading the design and implementation of end-to-end data and AI systems for enterprise customers using the Databricks platform. You'll work hands-on to build production-grade solutions, guide architectural decisions, and integrate complex data pipelines with ML/AI models and user-facing applications. The role emphasizes customer collaboration, reusable solutioning, and influencing product direction through real-world feedback.
This role involves maintaining and improving production data pipelines within a fast-paced data environment. The engineer will troubleshoot pipeline failures, enhance solutions using Databricks, Python, and SQL, and automate operational processes. The position supports data migration initiatives and requires close collaboration with stakeholders and external data providers, particularly in regulated domains like financial services.
This role involves managing and improving databases for local transport funding, developing reproducible analytical pipelines, and creating data visualisations using R, Power BI, and BigQuery. The postholder will work closely with policy and project teams to translate data needs into actionable insights, ensuring quality and best practice across analytical outputs. A key focus is on supporting transparency and accountability in the distribution and use of multi-year transport settlements by local authorities.
Design and build scalable data pipelines and data products within a modern cloud environment using Snowflake, dbt, and Python. Develop ELT workflows, implement data models, and ensure data quality and automation best practices. Collaborate in an Agile team to shape engineering standards and support analytics and data science initiatives.
Design and implement enterprise-scale cloud data platforms using Datab游戏副本, Snowflake, AWS, and GCP to support advanced analytics, AI, and machine learning. Define data architecture standards, governance, and best practices while collaborating with engineering and business teams. Work within a highly regulated environment on large-scale digital transformation initiatives.
This role involves hands-on engineering and architectural leadership for an enterprise Azure Databricks platform, focusing on enabling Serverless workloads, implementing FinOps controls, and migrating analytical workloads from POSIT/RStudio. The engineer will optimise cost, performance, and security across data pipelines, implement tagging and budgeting systems, and enhance the Discovery Zone for broader adoption. Key responsibilities include direct development, migration pattern design, and cross-team collaboration in a regulated environment.
This role involves diagnosing and resolving performance issues in Cerner/Oracle Health data pipelines within a national healthcare context. The consultant will provide expert DBA support, optimise SQL and data structures, and collaborate with stakeholders to meet data submission requirements. Work is remote, focusing on data remediation and architecture within the healthcare sector.
Design and develop scalable Python backend services and RESTful APIs for a data-intensive international technology programme. Work with graph and relational databases, build data pipelines, and contribute to cloud-native, containerised deployments using Docker and Kubernetes. Collaborate within an Agile team applying Domain-Driven Design to process geospatial and temporal data at scale.
This role involves providing technical leadership and mentoring to data engineers while shaping the design and governance of a cloud-based data platform on Google Cloud. The Principal Data Engineer will lead the development of scalable, secure data pipelines, enforce best practices in data ingestion, transformation, and monitoring, and drive automation and CI/CD adoption. The position plays a key role in elevating engineering standards and ensuring compliance within an Agile environment.
This role involves developing Power BI reports and semantic models, building and maintaining ETL/ELT pipelines, and creating robust SQL-based data solutions. The engineer will work closely with stakeholders to translate business needs into technical data systems, while supporting data warehouse environments and improving data governance. Key technologies include Power BI, Azure SQL, Synapse, and Microsoft Fabric, with a focus on automation and data quality.
Design and build scalable data pipelines on Azure and Databricks to integrate, transform, and model data from diverse sources into analytics-ready formats. Work across the full data engineering lifecycle, ensuring data quality, performance, and governance while collaborating with data, BI, and business teams. Contribute to platform development and engineering standards within a modern cloud data environment.
Design and maintain scalable data pipelines for a strategic SAS-based platform ingesting data from diverse sources. Work within an Agile team to transform and integrate data for high-impact HMRC programmes like Making Tax Digital and ITSA. Focus on ETL, data integration, and DevOps practices with strong emphasis on data quality, governance, and security.
