Lead Data Platform Engineer
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
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Design multi-tenant architecture and reusable data models that protect customer data and support fast, dependable analysis.
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Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.
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Develop repeatable integrations with enterprise systems, including ERP connectivity, synchronization, and access controls.
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Own data ingestion, orchestration, monitoring, and recovery for production systems.
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Create tools and workflows that make onboarding data, investigating issues, and delivering analytical features more efficient.
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Experiment with AI development tools and automation to improve team workflows.
What We're Looking For
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At least 5 years of experience building and operating production data systems, including ownership of architecture and implementation.
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Strong SQL and Python skills, with experience in data modeling and query optimization.
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Practical experience designing multi-tenant systems with data isolation and access controls.
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Experience integrating enterprise systems such as ERPs and collaborating directly with customer IT teams.
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Experience owning ingestion, orchestration, monitoring, and recovery in production.
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Background in data-intensive B2B SaaS or fintech is useful; procurement experience is not required.
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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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