Data Engineer (w/m/d)
Core
Design and implement scalable, high-quality data solutions on Azure and Databricks, supporting use cases from regulatory reporting to modern AI applications.
Role type
Data Engineer
Builds
Scalable data pipelines and data models on Azure and Databricks
Domain
Financial services, Cloud data platforms
Deliverable
production ML models | product features
Required skills
Requirements engineering, Business analysis, Cloud data platforms (Azure, Databricks), Python (PySpark), SQL, Data governance
Preferred skills
AI-first mentality, Automation solutions
Technologies
Azure, Databricks, Python, PySpark, SQL
Responsibilities
Analyze and specify technical requirements for data-driven projects, Identify and evaluate relevant data sources and systems, Contribute to data modeling on Azure and Databricks platforms, Build and implement scalable data pipelines and data models, Implement defined technical requirements including documentation, Work on defining and implementing governance standards
Seniority
Mid-level, hands-on IC
