Make customer data from supplier ledgers, invoices and contracts available quickly, securely and reliably as the foundation for analysis and negotiations.
Your responsibilitiesBuild and operate ETL/ELT pipelines for SAP, Abacus, DATEV and Excel dataDesign data models for spend, suppliers, contracts and savingsImprove data quality through deduplication, supplier matching and normalisationImplement privacy, access controls and tenant separationProvide datasets for ML, reporting and negotiatorsYour profile3+ years of data engineeringStrong SQL, Python and a cloud data stack such as BigQuery, Snowflake, Postgres or dbtExperience with ERP exportsFluent German or EnglishNice to haveSAP MM/FI tables, Airflow/Dagster and consulting or multi-tenant SaaS experience.




Responsibility and collaborationProfessional; no line-management responsibility; reports to Head of AI / CTO.
Your goals for the first six monthsStandard customer data intake completed in under three days rather than weeks.

What we offer
Visible impact on customer onboarding, choice of tools, adaptable hours, bonus and offsites.
Working conditionsRemote: EU countries, Switzerland, Norway, Iceland and LiechtensteinFull-timeRemoteEmployer: Savify AGWorking model: RemoteWorking hours: Full-timeContract: EmploymentTerm: PermanentStart: As soon as possibleTravel: Under 10%

📌 Data Engineer (España)
🏢 Savify
📍 España