Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will take ownership of the Databricks lakehouse, modeling trusted datasets for finance, sales, and logistics while building data pipelines and implementing monitoring systems.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Qualifications
- You've used a CRM or ERP as a primary source system and know what it means to model messy operational data that people edit by hand.
- Comfortable with infrastructure as code and with software engineering practices for data (version control, CI, testing).
- You communicate easily with non-technical stakeholders and push back when a request should be addressed differently.
- You work well in a Series B setting where priorities shift and nobody hands you a finished spec.
- You use AI coding tools as a natural part of your work and know where they help and where they don't.
Experience
- 5+ Jahre Erfahrung im Data Engineering, mit echter Verantwortung für eine Plattform anstelle einer einzelnen Pipeline.
- Deep SQL and Python, plus hands-on experience with Spark and a lakehouse (Databricks strongly preferred: Delta Lake, Workflows, Unity Catalog).
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What we offer
- 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: our agents and our margin depend on it directly.
- Hybrid setup in Berlin.
- Direct access to the founders and to the commercial teams whose problems you are solving.
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Topics You Will Work On
Job Locations
About Your Employer
Andercore
Andercore is a modern company based in Berlin that focuses on AI-driven trading and the distribution of industrial materials. It supplies European customers with materials from the energy, infrastructure, and construction sectors, employing its own AI technologies to optimize the trading process.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Senior Data Platform Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
