Senior Data Engineer (Databricks) | Senior Data Engineer (m/w/d) Databricks
Intercon Solutions GmbH
Job Summary
As a Senior Data Engineer, you will play a pivotal role in modernizing data infrastructure by leading the migration of a Data Warehouse to a future-oriented Databricks cloud environment. Your daily responsibilities include designing and implementing ETL processes, integrating new data sources, and automating complex business processes in close collaboration with various departments. You will take full ownership of data-driven projects from initial conception to final implementation, ensuring the continuous optimization of DWH architectures and data structures. This role is ideal for a proactive professional who enjoys technical knowledge transfer and strategic planning. The position offers a highly attractive package including over 30 days of vacation, flexible working hours with mobile work options, and comprehensive social benefits such as a company pension scheme and childcare subsidies, making it an excellent opportunity for long-term career growth in a collaborative environment.
Required Skills
Education
University degree in Computer Science, Mathematics, Economics, or a related field; or several years of relevant professional experience.
Experience
- At least 3 years of professional experience in Data Warehousing or Data Engineering environments
- Several years of experience with cloud-based platforms such as Databricks or comparable solutions
- Proven experience in programming with Python and SQL
- Practical experience with Big Data technologies like Spark and Delta Lake
- Experience in the conceptual design and implementation of data-driven solutions
Languages
Additional
- Permanent full-time contract. Requires high level of initiative and willingness to take responsibility. Mobile work options available.