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Salary
≈ $47k – $95k per year (Estimated)
Location
Hybrid (Poznań, Poland)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. Miele scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Miele is a German family-owned manufacturer of premium domestic appliances and commercial equipment, founded in 1899 by Carl Miele and Reinhard Zinkann. Its range covers washing machines, tumble dryers, dishwashers, ovens, coffee machines, refrigeration and vacuum cleaners, plus Miele Professional laundry and dishwashing machines and washer-disinfectors for hospitals, dental practices and laboratories. It runs plants in Germany, Austria, the Czech Republic, Poland, Romania and China and sells in about 100 countries. The company is headquartered in Gütersloh, Germany.

Your responsibilities:

  • design, build and operate reusable data products using SAP Datasphere and SAP Business Data Cloud based on business processes that can be further integrated in open source data platforms;
  • evaluate SAP extraction and integration approaches, considering delta handling, data volumes, performance, data quality and operational impact;
  • modernize the existing SAP BW and BW4 data models and flows by designing future architecture;
  • work closely with data architects, external consultants, business experts, IT teams.

Our requirements:

  • experience in data engineering, data warehousing or analytical data modeling in the SAP environment (BW and/or BW/4HANA, Datasphere, BDC);
  • good understanding of SAP source systems and data structures, preferably S/4HANA, and the ability to navigate and analyze unfamiliar SAP data;
  • strong ABAP and SQL and data modeling skills and a deep understanding of semantic modeling, data quality and data harmonization;
  • Python, ABAP OO, SQLScript and CDS knowledge is highly desirable as well as a basic understanding of data security and GDPR requirements;
  • proactive mindset, clear communication and willingness to challenge existing solutions while working in an existing grown architecture.
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