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SAP Data Engineer

Poznan

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Miele

What you’ll work on

Full posting
  • Design, build and operate reusable data products in SAP Datasphere and SAP Business Data Cloud

  • Evaluate SAP extraction and integration approaches for delta handling, volumes, performance and data quality

  • Modernize existing SAP BW and BW4 data models and flows by designing the future architecture

  • Work with data architects, external consultants, business experts and IT teams

From the employer’s posting
design, build and operate reusable data products using SAP Datasphere and SAP Business Data Cloud
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

What you’ll bring

All qualifications

Core experience

  • Experience in data engineering, data warehousing or analytical data modeling in the SAP environment (BW, BW/4HANA…
  • Strong ABAP and SQL skills and data modeling skills, including semantic modeling, data quality and harmonization
  • Good understanding of SAP source systems and data structures, preferably S/4HANA
  • Proactive mindset, clear communication and willingness to challenge existing solutions
Qualification wording
experience in data engineering, data warehousing or analytical data modeling in the SAP environment (BW and/or BW/4HANA, Datasphere, BDC)
strong ABAP and SQL and data modeling skills and a deep understanding of semantic modeling, data quality and data harmonization
good understanding of SAP source systems and data structures, preferably S/4HANA
proactive mindset, clear communication and willingness to challenge existing solutions

Tools in this posting

  • Python
  • SQL
  • SAP
Source — Tool mentions in context
- 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.
- 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;
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;
- 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;
- 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;

Posting record

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Status in our records
Live
First seen by us
Oct 14, 2026 · 15 days ago
Recorded sightings
37
Last seen by us
Oct 30, 2026

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Job description

View original posting ↗

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.
Source details

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Location & working pattern

Poznan

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