Lead Data Platform Engineer
Clera Berlin, Germany
Technology, Information and Internet · 11-50 employees
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About the role
Lead the design and implementation of a secure, multi-tenant data platform, including reusable data models, enterprise integrations, and analytical capabilities for procurement use cases. Own production data ingestion, orchestration, monitoring, and recovery, while improving onboarding and investigation workflows and applying AI tools to team processes.
What they look for
Requirements
Requires at least five years of experience building and operating production data systems, including responsibility for architecture and implementation, along with strong SQL and Python skills. Candidates should have experience with data modeling, multi-tenant access controls, enterprise integrations, and production data operations; B2B SaaS or fintech experience is useful, and procurement experience is not required.
Benefits
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.
