5 hours ago
London, United KingdomSenior
Responsibilities
- Mentor and support BI Engineers through design reviews, pairing, code reviews, and day-to-day technical guidance.
- Translate the Staff Engineering Lead’s strategy into an executable team plan and prioritize reporting, reconciliation, and platform work.
- Own the data warehouse, dimensional model, loading pipelines, data standards, and ERP-to-warehouse synchronization.
- Build and maintain reconciliations, investigate data issues, and ensure feeds are complete, accurate, timely, and usable.
- Design and build data pipelines and reporting models using Python, PySpark, Delta Lake, T-SQL, and Power BI.
- Improve platform cost, performance, reliability, quality, testing, governance, and release practices.
- Work with Finance, Technology, Commercial, Buying, Product, Architecture, Security, Risk, solution, engineering, and support stakeholders.
- Support evaluation and potential migration from Databricks to Microsoft Fabric.
- Run team work through Azure DevOps and follow governance, change-control, and release processes.
Requirements
- Strong hands-on experience with Python, SQL, PySpark, and Delta Lake for scalable data pipelines.
- Experience with Azure Data Factory, Azure Functions, Logic Apps, and Azure Storage.
- Strong experience with Databricks and Microsoft Fabric, including Lakehouse and modern data engineering solutions.
- Strong SQL/T-SQL skills and experience with Kimball dimensional modeling and data warehouse design.
- Experience integrating ERP data, ideally Microsoft Dynamics 365 Finance and Operations or another major ERP platform.
- Working knowledge of Power BI, DAX, and data modeling for business reporting.
- Experience leading or mentoring engineers, setting technical standards, and improving team quality.
- Ability to convert an established strategy into a deliverable plan, prioritize competing work, and make clear trade-offs.
- Strong stakeholder communication skills and a rigorous approach to data quality and reconciliation issues.
- Experience with lakehouse or warehouse migrations, platform decisions, finance or supply-chain processes, retail/ecommerce/fashion reporting, CI/CD for data, testing frameworks, data observability, governance, or cataloguing tools is welcomed.
Benefits
- Employee discount and employee sample sales.
- 25 days of paid annual leave plus an additional celebration day.
- Discretionary bonus scheme.
- Private medical care scheme.
- Flexible benefits allowance that can be taken as cash or used for other benefits.
- Personalized learning and in-the-moment development experiences.
Tech Stack
DatabricksPython
Categories
Data Engineering
About ASOS
ASOS is a global online fashion and beauty retailer for 20‑somethings, selling own‑brand and third‑party labels via its website and mobile apps. The company earns revenue from direct‑to‑consumer e‑commerce, shipping to customers worldwide and offering marketplace services for brands. Founded in 2000 and headquartered in London, ASOS is a public company listed on the London Stock Exchange and runs in‑house content and fulfillment operations at scale.