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.