Data Engineer / Data Ninja (all genders)
Posted
Summary
Data engineer building and running ETL/ELT pipelines for customer spend data from SAP, Abacus, DATEV and Excel, designing data models for spend, suppliers and savings, and improving data quality for ML, reporting and negotiators. Stack: SQL, Python and a cloud data warehouse such as BigQuery, Snowflake, Postgres or dbt.
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, flexible 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%