Lead Data Platform Engineer

Clera Berlin, Germany

Technology, Information and Internet · 11-50 employees

4 d ago

Senior (5-10 yrs) Full-time Germany

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About the role

You will design and evolve a multi-tenant data architecture while building robust ingestion pipelines and integration capabilities for ERP systems. Additionally, you will own the data foundation for spend analysis and leverage AI-powered tools to enhance team engineering efficiency.

What they look for

SQL Python Data Modeling Query Optimization Multi-tenant Architecture Data Pipelines ERP Integration Data Cleaning Data Reconciliation Spend Analysis Orchestration Monitoring System Architecture Automation AI Engineering

Requirements

The role requires 5+ years of experience in building and operating production data systems with strong proficiency in SQL, Python, and data modeling. Candidates must have a background in designing multi-tenant systems and collaborating with enterprise IT teams on data integrations.

Full description

About the Role

As Lead Data Platform Engineer, you will own the data foundation behind an AI-powered procurement platform. You will shape its architecture and build reliable data capabilities that help customers make informed spend decisions.

What You'll Do

Design and evolve multi-tenant architecture, shared data models, and controls that keep customer data isolated, trustworthy, and performant.

Build data cleaning, reconciliation, and calculation foundations for spend analysis, benchmarks, and simulations.

Work with customer IT teams to connect ERP systems, establish secure access, and turn integrations into reusable platform capabilities.

Own ingestion pipelines, orchestration, monitoring, and recovery, and build tools that speed up onboarding and issue resolution.

Explore AI-powered engineering tools and automation to improve how the team builds.

What We're Looking For

5+ years of experience building and operating substantial production data systems, with ownership of architecture and implementation.

Strong skills in SQL, Python, data modeling, and query optimization.

Experience designing multi-tenant systems with robust data isolation and access controls.

Background integrating enterprise systems and collaborating with customer IT teams on their data environments.

Compensation & Benefits

Visa sponsorship is not available for this role.

Location

This is an on-site role based in Berlin, Germany.