Analytics Engineer
Core
Design, build, and maintain semantic models and curated datasets on Databricks to support AI and agentic workflows for EMEA and APAC business transformation.
Role type
Senior Analytics Engineer (Data Platform & AI Readiness)
Builds
Semantic models, curated datasets, automation/AI-readiness scoring frameworks, and quantitative business cases.
Domain
Real Estate / Professional Services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks, SQL, semantic modeling, data governance, data quality, business logic translation, AI/ML data preparation, documentation
Preferred skills
Power BI, Microsoft Fabric, DAX, ETL/ELT, Agile delivery, European languages
Technologies
Databricks, Azure Synapse, Microsoft Fabric, Snowflake, Power BI, Git
Responsibilities
Design and maintain semantic models and datasets on Databricks; translate business questions into structured data models; build AI-readiness scoring frameworks; produce quantitative business cases; standardize datasets for transformation workstreams; collaborate on upstream data asset design; optimize data model performance; support platform adoption via documentation and peer reviews.
Seniority
Senior, hands-on IC
