Lead Data Platform Engineer
At a glance
Senior Data Engineering role at Clera. Berlin · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape a multi-tenant platform and reusable models that keep each customer’s data separate while enabling reliable analysis
- Build data cleanup, reconciliation and calculations for spend analysis, supplier comparisons and simulations
- Connect enterprise systems such as ERPs, including data sync and access controls
- Run production ingestion, orchestration, monitoring and recovery, and build workflows for onboarding data and investigating issues
- Test AI development tools and automation to make team workflows more efficient
What you bring
- At least five years building and running production data systems, with responsibility for both architecture and implementation
- Strong SQL and Python, plus practical data modeling and query optimization skills
- Hands-on experience building multi-tenant systems with data separation and access controls
- Experience connecting enterprise systems such as ERPs and working directly with customer IT teams
Who this fits
This is a hands-on technical leadership role for a senior engineer who can own platform architecture and implementation while working with product, engineering and customer IT teams. The job is on-site in Berlin; you need to live there or be willing to relocate. Visa sponsorship is unavailable.
From the employer
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.
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