9 of 9 Databricks Jobs in the East of England

with hands-on experience in relational and dimensional data modelling. Modern Data Engineering: Proven ability to design and deliver scalable solutions using tools like Microsoft Fabric (strongly preferred), Synapse, Databricks, or similar. Supporting Know-How: Solid grasp of data architecture, governance and security. DevOps & Cloud Fluency: Practical experience with CI/CD pipelines, APIs, and cloud tooling (e.g. Azure DevOps More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data warehousing solutions or modern analytics stacks (eg, Snowflake, Databricks). Understanding of information security best practices and regulatory frameworks (eg, GDPR, ISO 27001). Knowledge of ITIL practices or service management frameworks. Your Experience We are looking for someone More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

building and managing Docker containers . Strong Linux Infrastructure knowledge. Solid background in Azure Infrastructure engineering . Nice to Have: Hands-on experience with Domino , Azure DevOps , Python , GitHub , Databricks . Familiarity with Agile Scrum methodologies . Why Join? This is an exciting opportunity to lead technical innovation within HPC, working on impactful projects at scale. Youll have the chance More ❯

building and managing Docker containers . Strong Linux Infrastructure knowledge. Solid background in Azure Infrastructure engineering . Nice to Have: Hands-on experience with Domino , Azure DevOps , Python , GitHub , Databricks . Familiarity with Agile Scrum methodologies . Why Join? This is an exciting opportunity to lead technical innovation within HPC, working on impactful projects at scale. Youll have the chance More ❯

in equal measure. Youll oversee the modernisation of our Azure-based data environment, champion scalable and resilient data pipelines, and drive adoption of tools such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Working across all areas of the IET, youll ensure our data is secure, accessible, and delivering maximum value for analytics, business intelligence, and operational excellence. Youll … about the role Lead and modernise The IETs data architecture, ensuring alignment with best practice and strategic goals. Drive adoption of Azure data technologies such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Develop and maintain scalable, resilient data pipelines to support analytics and reporting. Stay hands-on in solving technical challenges, implementing solutions, and ensuring the reliability of More ❯

Build automated discovery workflows to enable self-service analytics. Champion adoption of governed data assets across business and technical teams. Technical Stewardship Configure cross-platform metadata synchronisation between Alation, Databricks (Unity Catalog) , and downstream systems. Implement schema registries, data contracts, and API-first data governance. Ensure compliance with GDPR, CCPA, SOX, and industry regulations. What We're Looking For Technical … master data management. Strong track record of curating and synchronising metadata across distributed platforms. Platform & Tool Expertise Alation power user : Expert in Stewardship Workbench, OCF connectors, and governance workflows. Databricks ecosystem : Unity Catalog administration, Delta Lake governance, lakehouse patterns, Genie AI/BI spaces. Hands-on with data quality tools such as Great Expectations, Ataccama, Monte Carlo (or similar). More ❯