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About the Role
As the first dedicated data platform hire, you will own our Databricks lakehouse end-to-end, setting standards for the team and building the foundation for dynamic pricing, demand sensing, and AI agents. This role is crucial for making our data platform solid, ensuring clean ingestion, a trustworthy model of our commercial and logistics domain, and enabling future AI-driven optimizations.
Responsibilities
- 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
- 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
- Make data quality observable through tests, monitoring and alerting
- Add near-real-time processing where needed, and keep things simple where batch is sufficient
Requirements
- 5+ years in data engineering with platform ownership experience
- Deep SQL and Python skills
- Hands-on experience with Spark and a lakehouse (Databricks strongly preferred: Delta Lake, Workflows, Unity Catalog)
- Experience using a CRM or ERP as a primary source system and modeling messy operational data
- Comfortable with infrastructure as code and software engineering practices for data (version control, CI, testing)
- Ability to communicate easily with non-technical stakeholders and push back when necessary
- Ability to work in a dynamic Series B setting with shifting priorities
- Experience using AI coding tools
- Streaming experience (Kafka, Kinesis or equivalent) is a plus
- Machine learning and statistical analysis experience is a plus
- Salesforce experience is a plus
- Experience in commerce, marketplaces or supply chain is a plus
- Interest in catalog, pricing and fulfillment problems is a plus
Skills
- SQL
- Python
- Spark
- Databricks
- Delta Lake
- Workflows
- Unity Catalog
- Infrastructure as Code
- Version Control
- CI
- Testing
- AI coding tools
- Streaming (Kafka, Kinesis)
- Machine Learning
- Statistical Analysis
- Salesforce
Location
- Berlin
Work Type
- Hybrid
Experience Level
- 5+ years
Education Level
- A degree in Computer Science, Engineering or a related field is a plus
Benefits
- A growing 12-person product and engineering team where you own your area end to end
- A company where data work is not a support function
- Direct access to the founders and to the commercial teams
About the Company
- Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction.
- We trade with global suppliers and distribute to European customers on our own account.
- Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing.
- Strong triple-digit-million euro turnover
- Seven European markets live
- 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai
- $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks.
- We are building the world's first and last industrial-grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth.
Equal Opportunity
- We are an equal-opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.