Data Platform Engineer

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

• Design multi-tenant architecture, reusable data models, and access controls that keep customer data isolated and queries performant.
• Build data cleaning, reconciliation, and calculation foundations for spend analysis, supplier comparisons, benchmarks, and simulations.
• Develop repeatable ERP integrations and synchronization patterns in collaboration with customer IT teams.
• Own ingestion, orchestration, monitoring, and recovery for production data systems.
• Create tools and workflows that make data onboarding, troubleshooting, and analytical feature development more efficient.
• Experiment with AI development tools and automate repetitive engineering work.

• 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 such as ERPs and working directly with customer IT teams.
• Experience owning 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.