Job Overview
We are seeking a Senior Data Engineer to join a client operating in the health and fitness sector. The person in this role will design and implement scalable data pipelines and lakehouse architectures on Databricks, lead a platform migration from Azure Synapse to Databricks, and deliver robust solutions that support analytics, business intelligence and self-service reporting across the organisation.
Responsibilities
- 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.
Qualifications
- 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.
Benefits
- Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
- Agile approach and no bureaucracy.
- Outstanding integration trips to various places in Europe for all employees.
- Activities to support your well-being and health.
- Luxmed Gold Extended medical care and Multisport Plus benefit.