Clera

Lead Data Platform Engineer

Clera Berlin, Germany

Technology, Information and Internet · 11-50 employees

Yesterday
Senior (5-10 yrs) Full-time Germany
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

Lead the design and operation of a data platform for an AI-enabled procurement technology business. Collaborate with product, engineering, and customer IT teams to build scalable data models, integrations, and orchestration workflows.

What they look for

Data platform design SQL Python Data modeling Query optimization Multi-tenant architecture Data isolation Access controls Enterprise system integration ERP integration Data ingestion Orchestration Monitoring AI development tools Automation Technical leadership

Requirements

Requires at least 5 years of experience in building and operating production data systems with strong proficiency in SQL and Python. Candidates must have experience in designing multi-tenant architectures and integrating enterprise systems.

Benefits

Competitive salary Meaningful equity

Full description

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

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

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 practical experience in data modeling and query optimization.
  • Experience designing multi-tenant systems with data isolation and access controls.
  • Experience integrating enterprise systems and working directly with customer IT teams.
  • 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.