Data Engineer | Data Engineer (m/w/d)
Schmitt GmbH
Job Summary
As a Data Engineer at Schmitt Engineering, you will play a pivotal role in designing, building, and maintaining a central data platform for capacity management. Your daily responsibilities include developing ETL pipelines, managing data migration from legacy warehouse applications, and ensuring high data quality through rigorous testing and stakeholder coordination. You will work within an agile team environment, collaborating closely with system architects and product owners to build a scalable Data Lakehouse architecture on AWS. This position is ideal for technical professionals who enjoy end-to-end data lifecycle management, from initial requirements analysis to cloud-based deployment. The role offers the chance to work on high-tech projects for renowned industrial clients while benefiting from a stable, permanent contract, flexible working hours, and a modern remote-friendly work culture. It is a unique opportunity to shape the future of industrial data infrastructure within a medium-sized company that values technical expertise and long-term professional growth.
Required Skills
Education
University degree in an IT-related field (e.g., Business Informatics) or a comparable qualification.
Experience
- Professional experience in implementing Business Intelligence and Data Warehouse solutions
- Practical experience in building and operating Data Lakehouse architectures on AWS
- Proven experience with SQL-based ETL development and data modeling techniques
- Experience in agile development environments and cross-departmental stakeholder management
- Experience in data migration and the development of data pipelines
Languages
Additional
- German language skills at level B2+ are a mandatory prerequisite as German is the primary working language for the project.
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