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 BigQuery, 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 SaaS 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%

📌 Data Engineer (España)
🏢 Savify
📍 España