Data Platform Engineer

Job summary

The Data Platform Engineer role is essential for building and managing the data infrastructure that supports AI agents in procurement workflows. Responsibilities include designing ingestion pipelines, managing data schemas, and ensuring data quality and lineage while collaborating with AI and product teams to enable analytics and machine learning at scale.

Qualifications

• Experience at tech and product-driven companies with a focus on data quality, DataOps, and data management at scale
• Experience developing data warehouses/lakehouses
• Ability to select and implement various tools across the data stack
• Keen to design and implement data solutions end-to-end
• Comfortable managing CI/CD and integrations
• Enjoy communicating with both technical and non-technical stakeholders

Responsibilities

• Design, implement and operate ingestion pipelines processing high-volume data from global supply chain and procurement systems
• Define, evolve, and manage data schemas and catalogues—from raw staging to high-quality analytics and feature stores
• Build end-to-end monitoring and observability for your pipelines: owning data quality, latency, completeness, and lineage at every stage
• Champion secure, governed data practices
• Collaborate closely with AI, Platform, and Product teams, provisioning data sets, feature tables, and contracts for analytics and machine learning at scale

Relocation