Senior Data Platform Engineer
Andercore, Berlin
What you will do
- Own our Databricks lakehouse end to end: ingestion from Salesforce and our operational systems, storage, pipeline architecture, orchestration and governance
- Model the commercial and logistics domain (quotes, orders, margins, suppliers, shipments) into clean, trusted datasets that finance, sales, procurement and logistics can all use without keeping their own version of the truth
- Work closely with our Head of Data to turn business questions into reusable datasets and metrics, not one-off exports
- Build the data foundation for pricing, forecasting and our AI agents: features, signals, historical snapshots and feedback loops that tell us whether a decision was right
- Make data quality observable: tests, monitoring and alerting, so broken pipelines and silent schema drift get caught before a buyer notices
- Add near-real-time processing where the business needs to act now, and keep things simple where batch is enough