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
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Design multi-tenant architecture and reusable data models that keep customer information isolated, secure, and efficient to query.
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Build data cleaning, reconciliation, and calculation foundations for spend analysis, supplier comparisons, benchmarks, and simulations.
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Develop repeatable integrations with enterprise systems such as ERPs, including synchronization patterns and access controls.
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Own ingestion, orchestration, monitoring, and recovery, and build tools that make onboarding and troubleshooting more efficient.
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Collaborate with customer IT teams to understand their data, schemas, APIs, permissions, and integration needs.
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Experiment with AI development tools and automation to improve how the team builds and delivers data capabilities.
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 practical experience in data modeling and query optimization.
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Experience designing multi-tenant systems with data isolation and access controls.
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Experience integrating enterprise systems and working directly with customer IT teams.
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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.
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