1 day ago
Berlin, GermanyStaff+
Responsibilities
- Design multi-tenant architecture and reusable data models that protect customer data and support reliable analysis.
- Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.
- Develop repeatable ERP and enterprise-system integrations, including synchronization and access controls.
- Own production data ingestion, orchestration, monitoring, and recovery.
- Create tools and workflows for data onboarding, issue investigation, and delivery of analytical features.
- Experiment with AI development tools and automation to improve team workflows.
- Collaborate with product and engineering colleagues and customer IT teams.
Requirements
- At least 5 years of experience building and operating production data systems, including architecture and implementation ownership.
- 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 production ingestion, orchestration, monitoring, and recovery.
- Experience in data-intensive B2B SaaS or fintech is useful.
- Sound technical judgment, initiative, fast execution, and thoughtful use of AI development tools.
Benefits
- Competitive salary and meaningful equity.
- Visa sponsorship is not available.
- On-site role in Berlin, Germany; candidates should be based in Berlin or willing to relocate.