> Markdown version of [/jobs/ext/4168496-business-intelligence-developer](https://www.wearedevelopers.com/jobs/ext/4168496-business-intelligence-developer). 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). --- # Business Intelligence Developer - **Company:** TeacherActive - **Location:** Birmingham, UK - **Contract:** Permanent contract - **Skills:** Data Infrastructure, Extract Transform Load (ETL), Data Structures, Data Warehousing, Azure Data Factory, Microsoft Fabric, Data Analytics, Databricks - **Published:** October 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=52e630cbf9f61163 ## About the Role We're looking for someone who brings more than just technical expertise. You'll be curious, proactive and passionate about finding better ways of doing things. You'll have: * Strong experience in ETL development, data modelling and data warehousing. * Experience with Databricks and modern data platforms. * Knowledge of Azure Data Factory, Microsoft Fabric or similar technologies. * Excellent communication and stakeholder management skills, with the confidence to explain technical concepts clearly. * A problem-solving mindset, attention to detail and a genuine passion for data and technology. * The enthusiasm to contribute ideas, challenge existing processes and thrive within a collaborative, innovative IT team. ## Description You'll play a key part in developing and improving our data infrastructure, transforming complex data into reliable, scalable solutions that support smarter business decisions. You'll be responsible for: * Designing and developing ETL pipelines to transform, integrate and optimise data. * Building and maintaining data models that deliver accurate, consistent and accessible information. * Working with Databricks and Microsoft Fabric to develop and enhance our analytical data platform. * Collaborating with stakeholders across the business to understand challenges and turn requirements into practical solutions. * Driving innovation and continuous improvement, identifying opportunities to automate processes, improve data quality and simplify complex data structures.