2 часа назад
Senior BI Engineer (FinTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior BI Engineer (FinTech): Owning the data warehouse, ERP data sync, reconciliations, and Power BI reporting for ASOS Finance and Fashion Tech with an accent on Python, PySpark, Delta Lake, Databricks, Microsoft Fabric, and Kimball dimensional modelling. Focus on mentoring BI engineers, leading a potential platform migration, solving data quality issues, and delivering reliable reporting for Finance, Commercial, Buying, and Product stakeholders.
Location: London, United Kingdom
Company
is an online fashion retailer whose technology platform supports customers and business operations worldwide.
What you will do
- Lead the BI team day to day, translating strategy into an executable delivery plan and mentoring BI Engineers through design reviews, pairing, and code reviews.
- Own the data warehouse, including dimensional modelling, loading pipelines, consistency standards, and data quality controls.
- Own the data sync between Microsoft Dynamics 365 Finance and Operations and the wider data estate.
- Build and maintain reconciliations that validate data completeness and accuracy, investigating root causes when feeds fail.
- Design data pipelines and reporting solutions using Python, PySpark, Delta Lake, T-SQL, Power BI, and DAX.
- Work with Finance, Tech, Commercial, Buying, Product, Architecture, Security, and Risk stakeholders to deliver governed and reliable data products.
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, Azure Storage, Databricks, and Microsoft Fabric.
- Strong T-SQL skills and experience with Kimball dimensional modelling 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 modelling for business reporting.
- Experience mentoring engineers, setting technical standards, prioritising competing requests, and managing stakeholder expectations.
Nice to have
- Experience with lakehouse or data warehouse migrations and platform decisions such as moving from Databricks to Microsoft Fabric.
- Knowledge of finance, supply chain, procure-to-pay, order-to-cash, month-end close, stock, or warehouse operations.
- Experience in retail, ecommerce, or fashion reporting for buying, merchandising, or trading.
- Experience with CI/CD for data, testing frameworks, data observability, governance, or cataloguing tools.
Culture & Benefits
- Employee discount, sample sales, and a discretionary bonus scheme.
- 25 days of annual leave plus an additional celebration day.
- Private medical care, pension contributions, and a flexible benefits allowance.
- Personalised learning and career development opportunities.
- Summer hours with 3pm Friday finishes in June, July, and August.
- Shuttlebus service between Watford station and the Leavesden office.
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