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SAP Datasphere Data Engineer - Snowflake
Job in
3090, Rotterdam, South Holland, Netherlands
Listed on 2026-07-13
Listing for:
Global Enterprise Partners
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
Data Engineering, SAP Consultant, SAP Tech / Software
Job Description & How to Apply Below
Join a newly established data product team and become the SAP Datasphere expert driving a shift-left data modeling strategy
. You will own SAP Datasphere, ensuring business semantics, harmonization, and governance are handled as close to the SAP source as possible, while enabling scalable integration with Snowflake where it adds value.
- Design and own SAP Datasphere models, views, and business semantics.
- Build and optimize SAP-to-Snowflake extraction and replication flows (Replication Flows, CDC, Premium Outbound).
- Advise on data architecture decisions: what remains in SAP Datasphere and what moves to Snowflake.
- Act as the SAP subject matter expert on data models, performance, governance, compliance, and licensing.
- Troubleshoot integration, data quality, and performance issues.
- Define standards, document best practices, and mentor team members.
- 5+ years of SAP data engineering/development experience.
- Strong hands‑on experience with SAP Datasphere (modeling, Data Builder, replication flows, integrations).
- Deep knowledge of SAP source systems (S/4
HANA, ECC, BW/4
HANA) and extraction technologies (CDS, ODP, CDC). - Experience integrating SAP data with cloud data warehouses, preferably Snowflake.
- Strong understanding of SAP governance, security, and licensing considerations.
- Agile product mindset and ability to work autonomously.
- SAP BTP and Business Data Cloud (BDC) experience.
- Knowledge of Snowflake and dbt.
- ABAP/CDS development experience.
- Start: ASAP-
- Duration: 4+ months with extensions
- Location:
Hybrid - Randstad - Contract:
Full‑time, freelance/ Independent Contractor - Rate:
Let us know your expectations
A pragmatic, customer‑focused SAP data professional with experience building data platforms in agile, fast‑moving environments and the ability to make architectural decisions independently.
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