remote
Data Engineer - Fortnum & Mason
Data Engineer
Senior Data Engineer focused on Azure Synapse, Azure Data Lake, and Power BI, building scalable ETL/ELT pipelines to power enterprise reporting and analytics.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines using Azure Synapse, Azure Data Lake, and Azure Fabric.
- Implement robust ETL/ELT processes to ingest, transform, and load data from diverse sources into a unified data lake.
- Create and optimize Power BI dashboards and reports that deliver actionable insights to business stakeholders.
- Collaborate with data scientists, analysts, and business users to translate requirements into scalable technical solutions.
- Ensure data quality, governance, and security across all data assets.
Requirements
- 5+ years of experience in data engineering with a strong focus on Azure services.
- Proficiency in Azure Synapse Analytics, Azure Data Lake Storage, and Azure Fabric.
- Hands‑on experience building ETL/ELT pipelines using SQL, Python, or Azure Data Factory.
- Deep knowledge of Power BI development, DAX, and data modeling.
- Strong problem‑solving skills and ability to work independently in a fast‑paced environment.