Required skills
- Data Engineering
- Azure
- Databricks
- PySpark
- Python
- SQL
- ETL
- ELT
- Data Lakehouse
- Workflow Automation
- Performance Optimization
- Data Governance
Languages: German
Job description
We are looking for an experienced Data Engineer to develop and optimize modern cloud data infrastructures, building scalable data solutions for analytics, business intelligence, and artificial intelligence.
Project overview
We are looking for an experienced Data Engineer to develop and optimize modern cloud data infrastructures. In this hands-on role, you will build scalable data solutions that enable analytics, business intelligence, and artificial intelligence.
Responsibilities
What you bring:
Tech Stack: Azure, Databricks, Python, SQL, PySpark
The focus is on engineering rather than pure architecture – build reliable and scalable data platforms that drive analytics and AI. You will work in a team of professionals and shape the technical future of data management.
- Development and construction of scalable Data Lakehouse solutions with Azure Databricks
- Development and optimization of ETL/ELT pipelines with Python, SQL, and PySpark
- Integration of various data sources and automation of workflows
- Performance optimization and collaboration with Data Scientists, BI Teams, and Cloud Engineers
- Co-design of best practices in Data Governance, Security, and Cost Optimization
- Sound practical experience in Data Engineering
- Very good knowledge of Python and SQL
- Proven experience with Azure, Databricks, and PySpark
- German language skills at C1 level (required)
Project details
- Start: flexible
- Location: DE
- Languages: German
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