Your responsibilities:

• Design and implement data pipelines and ETL processes using Databricks
• Develop and maintain CI/CD pipelines using Git Hub Actions and Terraform
• Collaborate with software development teams to integrate data solutions into applications
• Optimize data solutions for performance, scalability, and reliability
• Utilize Spark and Python to process and analyze large datasets.
• Implement and manage Lakehouse or Data mesh architectures
• Ensure data quality and integrity through comprehensive testing and validation
• Monitor, troubleshoot, and resolve data pipeline issues
• Stay updated with the latest industry trends and best practices in data engineering

Required Skills, Education, Knowledge and Experience:

• Strong knowledge and hands-on experience with Databricks
• Experience with CI/CD and Terraform
• Strong software development skills
• Extensive experience with Spark and Python
• Familiarity with Git Hub Actions, including Repos and Pipelines
• Excellent problem-solving and analytical skills
• Strong communication and teamwork abilities

• Databricks account administration experience
• Azure Dev Ops, Unity Catalog, and Azure Data Factory knowhow
• Understanding of Lakehouse and/or Data mesh architectures

What we offer:

• Working in an international team of Data & Analytics experts
• A work environment where knowledge-sharing is coveted and which has an open feedback culture
• Excellent opportunities for professional growth through industry-recognized projects for internationally known clients
• Support to fulfill your personal potential and individual career planning (Training and further education, participation in conferences, etc.)
• Opportunities to take responsibility at an early stage
• Flat hierarchies and an attractive salary & benefits package