Senior SAP Data Engineer
First seen by Alion on Aug 25, 2026.
We're hiring a Senior SAP Data Engineer to own the core data platform behind our growing Analytics Practice from ingestion and modeling through to the governed consumption layer that downstream analytics teams build on. You'll work hands-on across SAP Business Data Cloud, Datasphere, and HANA Cloud, integrating SAP and non-SAP sources, and also get visibility with clients through pre-sales support, workshops, and community engagement.
What You'll Do :
- Architect and optimize SAP data platform solutions using SAP Business Data Cloud, Datasphere, and HANA Cloud, applying Clean Core and LSA++ principles.
- Build data models in Datasphere spaces, tables, views, associations, analytic models end to end.
- Implement and tune replication/transformation flows, including delta/CDC handling and error recovery.
- Set up connectivity via ODP, ABAP CDS, SLT, Smart Data Integration, and JDBC.
- Model on HANA Cloud: calculation views, SQL Script, partitioning, performance tuning.
- Make and own architecture calls on federation vs. persistence, data tiering, and cost.
- Operate the platform in production monitoring, incident response, transport management.
- Support pre-sales: solution demos, architecture walkthroughs, scoping support.
- Represent Evora externally workshops, SAP Community content, conference speaking.
What You Bring :
- 5+ years in data engineering/analytics with proven SAP data platform delivery.
- Hands-on: SAP Datasphere (2+ yrs), HANA/HANA Cloud modeling (4+ yrs), BW/4HANA or BW-on-HANA (3+ yrs).
- 2+ end-to-end Datasphere or BW/4HANA implementations in a build/lead role.
- Expert SQL (window/analytical functions, query plan analysis).
- Experience extracting from S/4HANA or ECC (CDS views, ODP delta extraction).
- Python or SQL Script for automation and tooling.
- Strong stakeholder communication skills.
Good to Have :
- SAP Business Data Cloud data products / BTP administration.
- SAP Databricks / Databricks (PySpark, Delta Lake, Unity Catalog).
- Git-based workflows, CI/CD for data artefacts (abapGit, gCTS).
- Microsoft Fabric / Power BI exposure.
- SAP certification (Datasphere, HANA Cloud Modeling, or BW/4HANA).
Skills
SAP Data Services, SAP Datasphere, SAP Analytics, SAP BW/4HANA, SQL, S/4 HANA, S/4 HANA Embedded Analytics, Data Engineering