Analytics Engineer - Databricks
Core
Build scalable data models and dashboards to power commercial analytics, client engagement tracking, and business decision-making for a global allied health technology company.
Role type
Senior Analytics Engineer (Data Lakehouse)
Builds
Production data models, semantic layers, and business-facing dashboards for commercial and customer success teams.
Domain
Allied health technology / Sports science / Data Engineering
Required skills
Analytics Engineering, Dimensional (Kimball) modelling, Azure Databricks, Spark SQL, PySpark, T-SQL, Data Governance, Master Data Management (MDM), Stakeholder Management
Preferred skills
Azure SQL, Power BI, Metric Definition, Data Quality (via careerplan.io/jobs/94095b9c-f78c-4dc1-8153-76aaaca25170-analytics-engineer-databricks-at-vald)
Technologies
Azure Databricks, Azure SQL, Spark SQL, PySpark, T-SQL, Power BI
Responsibilities
Design and develop scalable analytics pipelines in Azure Databricks; Create and maintain semantic models and dashboards for client engagement and retention; Partner with Commercial and Product teams to define key metrics and trusted datasets; Apply dimensional modelling best practices to support reporting and forecasting; Improve data generation processes across product usage and commercial domains.
Seniority
Senior, hands-on IC