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 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 negotiators Your profile 3+ years of data engineeringStrong SQL, Python and a cloud data stack such as Big Query, Snowflake, Postgres or dbtExperience with ERP exportsFluent German or English Nice to haveSAP MM/FI tables,



Airflow/Dagster and consulting or multi-tenant Saa S 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 offerVisible impact on customer onboarding, choice of tools, adaptable hours, bonus and offsites.Working conditions Remote: EU countries, Switzerland, Norway, Iceland and LiechtensteinFull-timeRemoteEmployer: Savify AGWorking model: RemoteWorking hours: Full-timeContract: EmploymentTerm: PermanentStart: As soon as possibleTravel: Under 10% #J-18808-Ljbffr

📌 Data Engineer / Data Ninja (All Genders) (Madrid)
🏢 Savify
📍 Madrid