Senior Azure Data Engineer

The role is for a Senior Data Engineer at a client operating in the health and fitness sector.

• Minimum 7 years of professional experience in data engineering or analytics engineering roles.
• Proven hands-on experience with Databricks, including Spark and SQL development at scale.
• Advanced SQL skills with demonstrable experience in query performance tuning and optimisation.
• Experience executing migrations of data platforms, preferably from Azure Synapse to Databricks.
• Practical experience with Power BI, including dataset modelling and integration with semantic models.
• Strong understanding of Kimball data warehousing principles, star schema design and analytics best practices.
• Experience working with cloud-based data platforms and services.
• English language proficiency at Upper-Intermediate level or higher.

• Design, implement and maintain scalable data pipelines and lakehouse architectures using Databricks technologies, including Delta Lake and Spark.
• Plan and execute the migration of analytic workloads from Azure Synapse to Databricks, ensuring measurable improvements in performance and reliability.
• Develop and optimise a Databricks-based data warehouse to support analytics and BI workloads.
• Design and maintain semantic models and data structures that enable enterprise reporting and self-service analytics.
• Collaborate with analytics, product and business teams to deliver high-quality Power BI datasets and dashboards that meet stakeholder requirements.
• Author, optimise and tune complex SQL queries for large-scale analytical workloads to ensure efficient performance.
• Implement and monitor data quality, reliability and governance practices across the analytics platform.
• Contribute to architectural decisions, establish data engineering best practices and maintain standards for the analytics environment.