Key Responsibilities

• Design, build and optimise scalable data pipelines within Databricks.
• Develop and enhance ETL processes to integrate data from a variety of sources.
• Create efficient, high-performance transformations using SQL and Python.
• Take ownership of SQL development, including queries, stored procedures and database optimisation.
• Contribute to the ongoing development of data warehouses, data models and broader data architecture.
• Collaborate with stakeholders across the business to understand requirements and deliver reliable data solutions.
• Identify opportunities to improve data quality, performance and scalability across the platform.

Key Responsibilities

• Design, build and optimise scalable data pipelines within Databricks.
• Develop and enhance ETL processes to integrate data from a variety of sources.
• Create efficient, high-performance transformations using SQL and Python.
• Take ownership of SQL development, including queries, stored procedures and database optimisation.
• Contribute to the ongoing development of data warehouses, data models and broader data architecture.
• Collaborate with stakeholders across the business to understand requirements and deliver reliable data solutions.
• Identify opportunities to improve data quality, performance and scalability across the platform.