Senior Data Engineer / Consultant – Databricks & Azure (m/w/d)
Core
Designing and implementing Lakehouse solutions on Databricks and Azure, building production-ready data pipelines, and consulting clients on data architecture.
Role type
Senior Data Engineer / Consultant
Builds
Lakehouse solutions, production data pipelines, and analytics platforms
Domain
Data Engineering, Cloud (Azure), Databricks
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Databricks, Microsoft Azure, Git, CI/CD, Data Modeling, Data Governance, Unity Catalog
Preferred skills
Data Vault 2.0, Power BI, Terraform, MLflow, RAG
Technologies
Databricks, Azure, Python, PySpark, SQL, Unity Catalog, Git, Terraform, Power BI, MLflow
Responsibilities
Design and implement Lakehouse solutions on Databricks and Azure; Develop and optimize production data pipelines; Make architectural decisions regarding data models and interfaces; Implement data quality checks and governance; Consult with clients to translate requirements into work packages; Mentor colleagues and customer teams.
Seniority
Senior, hands-on IC with client-facing responsibilities