SAP Data Engineer
Miele Open Hybrid Poznan Full-time Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at Miele. Poznan · full-time.
Pay not stated Data Engineering salary
RoleData Engineering
SeniorityMid-level
LocationPoznan
WorkplaceHybrid
EmploymentFull-time
PostedOct 14, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and run reusable data products in SAP Datasphere and SAP Business Data Cloud, grounded in business processes
- Compare SAP data extraction and integration options, weighing delta handling, volume, speed, quality and operational effects
- Redesign SAP BW and BW/4 models and data flows to shape a future architecture
- Coordinate with data architects, outside consultants, business specialists and IT teams
What you bring
- You have worked in SAP data engineering, warehousing or analytical modeling, using BW, BW/4HANA, Datasphere or BDC
- You can interpret SAP source systems and structures, ideally including S/4HANA, and investigate unfamiliar SAP data
- You bring strong ABAP, SQL and data modeling ability, with a solid grasp of semantic models, data quality and harmonization
Who this fits
This mid-level role suits someone who can work within an established architecture while questioning existing approaches and communicating clearly. The position is based in Poznan, Poland, with a hybrid arrangement.
From the employer
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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