5 of 5 Remote/Hybrid Databricks Jobs in Birmingham

analytics solutions Strong analytical and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL/data integration tool experience API integration experience Python scripting/automation knowledge Experience working with complex or regulated datasets Understanding ...

Azure Platform engineering background and come with 3 years demonstrable hands on Azure DevOps engineering experience, specifically App Service, API Management, Azure SQL Database, Databricks, Storage Accounts and ServiceBus. As well as strong knowledge of Infrastructure as Code using TerraForm and Scripting. Working closely with the key stakeholders, you will ...

senior engineering leadership role (Head of Engineering, Head of Data, or similar) Strong Data Engineering background with exposure to SQL Server, Azure or Databricks Experience leading multi-team engineering organisations Strong delivery focus within regulated or complex environments Ability to operate as a senior leader rather than a hands ...

delivery aligns with business and programme objectives Play a key role in shaping the future structure of the engineering function Tech Environment Microsoft Azure Databricks .NET SQL Server Key Requirements Proven experience in senior Data Engineering leadership (essential) Experience operating at Head of Engineering level or similar Background managing multiple ...

impact opportunity to shape the future of a modern data platform at scale. You will take ownership of architecture, performance, and governance across a Databricks Lakehouse environment, directly influencing how business decisions are made. THE COMPANY They are a global, data-driven organisation operating at the intersection of technology … deliver a scalable and high-performing architecture. Specifically, you can expect to be involved in the following: Design and implement a governed Databricks Lakehouse, including catalog and data structures. Migrate complex legacy SQL into clean, modular, and maintainable pipelines. Build scalable transformation frameworks using Spark and Python or SQL-based ...