Make customer data from supplier ledgers, invoices and contracts available quickly, securely and reliably as the foundation for analysis and negotiations.
Your responsibilities Build and operate ETL/ELT pipelines for SAP, Abacus, DATEV and Excel data
Design data models for spend, suppliers, contracts and savings
Improve data quality through deduplication, supplier matching and normalisation
Implement privacy, access controls and tenant separation
Provide datasets for ML, reporting and negotiators Your profile 3+ years of data engineering
Strong SQL, Python and a cloud data stack such as Big Query, Snowflake, Postgres or dbt
Experience with ERP exports
Fluent German or English Nice to have
SAP MM/FI tables, Airflow/Dagster and consulting or multi-tenant Saa S experience.
Responsibility and collaboration




Professional; no line-management responsibility; reports to Head of AI / CTO.
Your goals for the first six months
Standard customer data intake completed in under three days rather than weeks.
What we offer
Visible impact on customer onboarding, choice of tools, versátil hours, bonus and offsites.
Working conditions Remote: EU countries, Switzerland, Norway, Iceland and Liechtenstein
Full-time
Remote
Employer: Savify AG
Working model: Remote
Working hours: Full-time
Contract: Employment
Term: Permanent
Start: As soon as possible
Travel: Under 10% #J-18808-Ljbffr

📌 Data Engineer / Data Ninja (all Genders) (Santander)
🏢 Savify
📍 Santander