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Lead Data Platform Engineer
Job description
ABOUT THE ROLE
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.
WHAT YOU'LL DO
- 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.
WHAT WE'RE LOOKING FOR
- 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.
COMPENSATION
& BENEFITS 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.
Description copied from Clera's careers page. Read the full posting before you apply.
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