clera · Berlin ·
Own the data foundation for an AI-powered procurement platform: design multi-tenant data architecture, build ingestion pipelines with orchestration and monitoring, clean and reconcile spend data, and integrate customer ERP systems. Core stack centers on SQL, Python, data modeling, and query optimization. On-site in Berlin.
gen-digital · IND - Pune
aimpoint-digital · Atlanta, United States
J.M. Smucker · Orrville, OH
Capital One (Europe) plc · Nottingham, United Kingdom
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.
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.
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.
Visa sponsorship is not available for this role.
This is an on-site role based in Berlin, Germany.
Trolley · Halifax