Lead Data Engineer
This is a hands-on technical and operational owner with responsibility for managing and optimising scalable data solutions across the enterprise.
The ideal candidate has a background in
1. Strong technical expertise in modern data platforms (especially Microsoft Fabric and Power BI)
2. operational oversight
3. And a focus on governance, quality, and best practice.
You will drive operational improvements, embed best practice, and ensure that our data solutions are robust, efficient, and future-proofed, reliable and available, supporting the business through a period of significant change and growth.
Responsibilities
1. Oversee and optimise the daily operations of the data engineering function, with a strong focus on production day-to-day activities.
2. Implement and maintain best practice monitoring, alerting, and automation for all data warehouse and reporting pipelines.
3. Lead the clean-up and migration away from legacy and Excel-based data sources, enforcing modern data platform standards.
4. Design, build & manage scalable data architectures and pipelines using Microsoft Fabric, Power BI, Azure, and SQL.
5. Data Governance & Data Management - Ensure data quality, security, and compliance through robust validation and governance frameworks.
Experience
1. Over 10 years in IT with 5+ years in data engineering/solutions with a degree in Computer Science, Information Technology, Data Engineering, or related field.
2. Strong in Microsoft Fabric, Power BI (including DAX, Power Query, Service), Azure, and SQL.
3. Strong experience with data warehousing concepts, ETL/ELT processes, and data modelling.