Our Head Office department is in the heart of Piccadilly and occupies the 5th & 6th floor of our beautiful flagship store. This central London location offers so much to explore including restaurants, bars, cultural sites, shopping and more, and only a short walk from the Green Park Tube Station and plenty of bus stops.
Data Engineer - Azure & Power BI
We're looking for an experienced Data Engineer to design, build and support high-quality data solutions that power reporting and analytics across the business. You'll translate business needs into scalable technical solutions, working with tools like Azure Synapse, Data Lake, Fabric and Power BI.
You'll develop ETL/ELT pipelines, data warehouses and lake solutions, while ensuring strong data quality, monitoring and performance. You'll also lead on BI initiatives and collaborate with stakeholders to deliver impactful insights.
Essential skills:
5+ years in data engineering / data development
Strong Python and SQL
Azure Data Services (Synapse, Data Lake, Fabric, Databricks)
Power BI reporting & data modelling
ETL/ELT pipeline development and data architecture
Experience with APIs, Spark, and large-scale data platforms
Real-time data, CI/CD, governance or retail experience. (Desirable)
Why Work For Us:
Competitive salary
A generous store and restaurant discount of up to 40%
25 days holidays (excluded bank holidays) and an extra day off for your birthday
A fantastic subsidised staff restaurant which uses Fortnum's ingredients
A range of opportunities to develop and grow personally and professionally
Excellent pension scheme
We are committed to developing your career and nurturing your talent, regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and maternity; race; religion or belief; sex; sexual orientation. We respect and embrace each other's differences, to create a truly inclusive environment.
In the last year alone, our people have been recognised and celebrated, winning awards for their outstanding contributions to Retail, Technology, Global Hospitality & Tourism, Visual Merchandising & Display, Customer Service and Local Community Awards.
Data Engineer • London (Greater), London (Greater), United Kingdom
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