Lead Data Platform Engineer

RxREVU, Inc.; Berlin; On-site; EUR 120,000 - 160,000; Full time

Job summary

RxREVU, Inc. is seeking a Lead Data Platform Engineer to own the data foundation behind its AI-powered procurement platform in Berlin. You will shape architecture, design multi-tenant data models, and build reliable data capabilities to enable informed spend decisions.

You will lead ingestion pipelines, data cleaning, reconciliation, and calculations for spend analysis, benchmarks, and simulations, while collaborating with customer IT teams on secure ERP integrations.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Data modeling

Query optimization

Multi-tenant architecture

Tools

ERP systems

Job 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.