> Markdown version of [/jobs/ext/4574941-technical-bi-manager](https://www.wearedevelopers.com/jobs/ext/4574941-technical-bi-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical BI Manager - **Company:** TRIA - **Location:** Birmingham, United Kingdom - **Experience:** Expert - **Salary:** £70,000 - £80,000 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Business Intelligence Development, Business Systems, Spreadsheets, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Microsoft Data Access Components, Power BI, Standard Sql, SQL Databases, Technical Data Management Systems, Apache Spark, Data Layers, Microsoft Fabric, Pyspark, Data Management, Data Pipelines, GXP - **Published:** November 5, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-CB333111F84757A518/ ## About the Role You'll be an experienced Data Engineer or Technical Data Lead with a strong grounding in data warehousing and modern Microsoft data technologies., * Strong hands-on experience with Microsoft Fabric, including Lakehouse architecture and its wider data engineering capabilities. * Good working knowledge of PySpark and Spark notebooks, with the ability to understand, troubleshoot and extend existing code. * A solid understanding of data warehousing, ETL/ELT processes, data integration and data modelling. * Experience working with medallion architectures (bronze, silver and gold). * Familiarity with Azure DevOps, CI/CD pipelines and deployment management. * Good SQL skills and an understanding of Power BI, sufficient to provide technical direction and challenge developers. * Experience leading, mentoring or developing technical teams, or a genuine appetite to take that next step into management. ## Description Are you a hands-on Data Engineering specialist with strong Microsoft Fabric experience, looking for an opportunity to take technical ownership of a growing data function and step into a leadership role?, We're looking for a Lead Data Engineer/Technical BI Manager to take responsibility for the development of a modern data and reporting platform, leading a small team of data engineers and BI developers. This is a predominantly technical role (approximately 70% hands-on engineering and architecture, 30% leadership), offering the opportunity to shape the evolution of the data function while developing and mentoring an established team. The opportunity The business is investing in transforming its data capabilities, moving away from fragmented, spreadsheet-based reporting towards a modern, integrated Microsoft Fabric data platform. The core architecture has already been designed and partially implemented, giving you the opportunity to take ownership, build on the foundations in place and drive the next stages of delivery. You'll work closely with the Group IT Director and wider technology leadership team, becoming the senior technical authority for data engineering and reporting. What you'll be doing * Taking technical ownership of the Microsoft Fabric data platform, progressing its implementation and ongoing development. * Developing and extending a medallion lakehouse architecture across bronze, silver and gold data layers. * Working hands-on with PySpark notebooks, SQL, Dataflows Gen2 and data integration technologies. * Developing robust ETL/ELT pipelines, bringing data together from multiple business systems and sources. * Applying data warehousing principles, including data modelling, fact and dimension tables and reporting structures. * Supporting the development of finance and operational reporting, including the delivery of a consolidated P&L reporting view. * Overseeing CI/CD and deployment processes using Azure DevOps across Fabric and Power BI environments. * Providing technical direction and guidance to a team of five data engineers and Power BI developers. * Developing the team's technical capabilities, introducing good engineering practices and helping them transition towards a more mature data environment. * Working with senior stakeholders to shape the future data roadmap as the business continues its wider technology transformation.