Data Platform Engineer

Lead the design and operation of a production data platform for a procurement technology product. This hands-on technical leadership role connects enterprise data sources to reliable analytics, working closely with product and engineering colleagues and customer IT teams.

• Design multi-tenant architecture and reusable data models with strong tenant isolation and appropriate access controls.
• Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.
• Develop repeatable integrations and synchronization patterns for enterprise systems, including ERPs.
• Own ingestion, orchestration, monitoring, and recovery for production data workflows.
• Create tools and processes that make data onboarding, troubleshooting, and analytics development more efficient.
• Use and evaluate AI development tools to improve engineering workflows.

• At least 5 years of experience building production data systems, including ownership of architecture and implementation.
• Strong SQL and Python skills, with experience in data modeling and query optimization.
• Practical experience designing multi-tenant systems with data isolation and access controls.
• Experience integrating enterprise systems and working directly with customer IT teams on schemas, APIs, permissions, and synchronization.
• Experience operating ingestion, orchestration, monitoring, and recovery in production.
• Background in data-intensive B2B SaaS or fintech is useful; procurement experience is not required.

Competitive salary and meaningful equity. Visa sponsorship is not available.

Location

On-site in Berlin, Germany. Candidates should be based in Berlin or willing to relocate.