Databricks Data Engineer
Core
Design, build, and scale production-ready Databricks data platforms and pipelines for clients, ensuring structure, scalability, and reliability.
Role type
Senior Databricks Data Engineer
Builds
Scalable Lakehouse architectures and data pipelines on Databricks
Domain
Data Engineering / Cloud Platforms (Azure, AWS, GCP)
Deliverable
production ML models | product features
Required skills
Databricks ecosystem (Delta Lake, PySpark, SQL), Python, SQL, Cloud platforms, Data modelling, ETL/ELT concepts
Preferred skills
Databricks certifications, Databricks Champion status, Strong Spark background
Technologies
Databricks, Delta Lake, PySpark, Scala, Azure, AWS, GCP
Responsibilities
Design and build scalable data platforms using Databricks; Develop data pipelines using Spark (PySpark / Scala); Apply the Databricks ecosystem in production; Work with cloud platforms like Azure, AWS or GCP; Write production-grade code (Python, SQL); Collaborate directly with clients on high-impact projects
Seniority
Senior, hands-on IC