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Lead Data Platform Engineer

Lead the design and development of a data platform for a B2B procurement technology product.

  • Berlin, Germany
  • Full-time
  • On-site
  • Posted Nov 10, 2026
INDUSTRYSoftware & InternetSaaS & Enterprise Software

Responsibilities

  • Design multi-tenant architecture and reusable data models
  • Build data cleaning, reconciliation, and analytical calculations
  • Develop repeatable integrations with enterprise systems
  • Own data ingestion, orchestration, monitoring, and recovery for production systems
  • Create tools and workflows for onboarding data and delivering analytical features
  • Experiment with AI development tools and automation

Requirements

Nice to have: AI development tools

Skills

SQLPythondata modelingquery optimizationmulti-tenant systemsenterprise system integrationingestion orchestration monitoringSQLPython

Full description

ABOUT THE ROLE Lead the design and development of a data platform for a B2B procurement technology product. This hands-on technical leadership role owns the path from enterprise data integrations 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 that protect customer data and support fast, dependable analysis. - Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations. - Develop repeatable integrations with enterprise systems, including ERP connectivity, synchronization, and access controls. - Own data ingestion, orchestration, monitoring, and recovery for production systems. - Create tools and workflows that make onboarding data, investigating issues, and delivering analytical features more efficient. - Experiment with AI development tools and automation to improve team workflows. 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 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 collaborating 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. - Sound technical judgment, initiative, fast execution, and thoughtful use of AI development tools. 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.

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