Data Engineer - Azure Focus | Data Engineer (m/f/d) - Azure
Riverty Group Norway AS
Job Summary
This role seeks an experienced Data Engineer to design, implement, and maintain scalable ETL/ELT pipelines within a modern lakehouse architecture, leveraging the Microsoft Azure ecosystem. The successful candidate will utilize tools like Azure Data Factory, Databricks, and Azure Data Lake to create high-performance analytical data models. Key responsibilities include driving data engineering best practices, implementing CI/CD pipelines using Azure DevOps and Git, and integrating orchestration workflows with Airflow. This position requires 5+ years of relevant experience, a strong background in cloud-native platforms, and hands-on expertise with Python and SQL. It is an attractive opportunity for a proactive professional to join a company focused on financial empowerment, offering hybrid working conditions in Berlin and supporting continuous professional development.
Required Skills
Education
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Experience
- 5+ years in data engineering, with a focus on cloud-native platforms
- Hands-on expertise with Azure Data Factory, Databricks, Azure Data Lake, SQL, and Python
- Professional experience with DevOps workflows (e.g., Git, Azure DevOps)
- Professional experience with orchestration tools like Airflow
Languages
Additional
- Not specified