Senior BI Engineer

As Senior BI Engineer at ASOS, you lead the BI team for FinTech and Fashion Tech, turning strategy into delivery. You own the data warehouse and ERP data sync end-to-end, guiding platform decisions and mentoring engineers. You build scalable pipelines and trusted reporting that underpin finance and commercial decisions. This role blends hands-on delivery with technical leadership in a modern data stack, offering impact across two fast-paced domains.

• Employee discount
• Employee sample sales
• 25 days paid annual leave + extra day
• Discretionary bonus scheme
• Private medical care
• Flexible benefits allowance

• Mentor and enable the BI team to deliver against the strategy; conduct design reviews and code reviews to raise quality
• Own the data warehouse, including dimensional models, pipelines, and standards; ensure data consistency as it grows
• Own the ERP-to-warehouse data sync; ensure timely, complete, usable data for business
• Deliver performant Power BI reports from robust data models; build data pipelines in Python, PySpark, Delta Lake
• Collaborate with Finance, Tech, and Fashion stakeholders to translate needs into requirements and timelines
• Work with Solution, Engineering, and Support teams to guard against upstream changes breaking downstream reporting
• Follow ASOS delivery processes including governance, change control, and Azure DevOps; coordinate with Architecture, Security, and Risk to meet standards
• Set technical standards for modeling, building, testing; maintain data quality and reconciliations
• Balance competing requests and prioritize work for reporting, reconciliations, and platform improvements

• Strong hands-on experience with Python, SQL, PySpark, Delta Lake for scalable data pipelines
• Experience with Azure data stack (ADF, Functions, Logic Apps, Storage)
• Experience with Databricks and Microsoft Fabric; Lakehouse and modern data engineering
• Strong SQL/T-SQL and knowledge of Kimball dimensional modeling and data warehouse design
• Experience integrating ERP data, ideally Dynamics 365 Finance & Operations
• Working knowledge of Power BI, DAX, and data modeling for business reporting
• Experience leading or mentoring engineers; ability to set technical standards
• Stakeholder management across Finance, Tech, Commercial; clear data storytelling and requirement shaping
• Ability to manage data quality and root-cause analysis for reconciliations
• Experience with platform migrations or platform decision-making (Databricks to Fabric)

• Leadership and mentoring
• Stakeholder management
• Prioritization and decision-making
• Python
• SQL/T-SQL
• PySpark