Senior Data Warehouse Lead (Azure Data Factory / Databrick / Data Delivery / Data Engineering)
Posted 1 day ago by GIOS Technology
£49 Per hour
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Senior Data Warehouse Lead will oversee the delivery of a pricing data warehouse project within the Azure data ecosystem, leveraging extensive experience with Azure Data Factory and Databricks. This role requires technical leadership, task management for a team of data engineers, and mentorship to enhance team skills. The position is hybrid, based in London, and emphasizes alignment with strategic goals and DevOps principles.
Key Responsibilities:
- Lead the end-to-end delivery of the pricing data warehouse project.
- Manage, prioritize, and assign tasks to a team of data engineers.
- Serve as the technical authority, providing design direction and oversight for Azure-based solutions.
- Mentor and guide data engineers to enhance their skills.
- Ensure alignment with strategic goals and timelines.
- Apply DevOps principles in data warehousing projects.
Key Skills:
- Proven track record in a technical leadership role within the Azure data ecosystem.
- Extensive hands-on experience with Azure Data Factory and Databricks.
- Complex SQL query development skills.
- Deep understanding of DevOps principles.
- Strong team management and mentoring abilities.
Salary (Rate): £48.90/hr
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
We are hiring for Senior Data Warehouse Lead (Azure Data Factory / Databrick / Data Delivery / Data Engineering) Location : Hybrid - London Should have proven track record in a technical leadership role, specifically within the Azure data ecosystem Extensive hands-on experience with Azure Data Factory, Databricks, and complex SQL query development. Lead the end-to-end delivery of the pricing data warehouse project, ensuring alignment with strategic goals and timelines. Deep understanding of DevOps principles and their application in data warehousing projects. Manage, prioritize, and assign tasks to a team of data engineers, fostering an environment of collaboration and accountability and Serve as the technical authority, providing design direction and oversight for solutions built on the Azure platform. Actively mentor and guide data engineers, helping them enhance their skills and achieve their full potential.