Lead Data Platform Engineer

About the Role

Lead the design and operation of a data platform for an AI-enabled procurement technology business. This hands-on technical leadership role will shape how enterprise data is connected, protected, and transformed into reliable analytics, working closely with product and engineering teams and customer IT teams.

What You'll Do

• Design multi-tenant architecture and reusable data models that keep customer information isolated, secure, and efficient to query.

• Build data cleaning, reconciliation, and calculation foundations for spend analysis, supplier comparisons, benchmarks, and simulations.

• Develop repeatable integrations with enterprise systems such as ERPs, including synchronization patterns and access controls.

• Own ingestion, orchestration, monitoring, and recovery, and build tools that make onboarding and troubleshooting more efficient.

• Collaborate with customer IT teams to understand their data, schemas, APIs, permissions, and integration needs.

• Experiment with AI development tools and automation to improve how the team builds and delivers data capabilities.

What We're Looking For

• At least 5 years of experience building and operating production data systems, including ownership of architecture and implementation.

• Strong SQL and Python skills, with practical experience in data modeling and query optimization.

• Experience designing multi-tenant systems with data isolation and access controls.

• Experience integrating enterprise systems and working directly with customer IT teams.

• Sound technical judgment, initiative, and the ability to execute quickly; experience in data-intensive B2B SaaS or fintech is useful, but procurement expertise is not required.

Compensation & Benefits

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

Location

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