In this role you will design, build and run scalable data platforms and pipelines to power AI-driven products at Global. You work cross-functionally to deliver production-grade data solutions, uphold quality and governance, and evolve platform capabilities. You’ll shape a scalable data foundation, enabling efficient analytics and targeting across teams. This is a hands-on, impact-driven opportunity to build from the ground up in a collaborative environment.
Responsibilities
Data Platform & Pipeline Engineering: design, build and maintain scalable batch and near real-time pipelines across ingestion, transformation and serving layers; optimize performance, reliability and cost
Platform Evolution & Engineering Excellence: shape the data platform through architecture, tooling, CI/CD and infrastructure as code; create reusable components and document
Quality & Governance: implement data validation, lineage, observability and governance for trusted datasets
Collaboration & Enablement: partner with Data Science, MLOps, Product and commercial teams; mentor others and communicate with stakeholders
Key requirements
Strong Python and SQL skills for production-grade pipelines
Hands-on experience with Snowflake, Airflow, dbt and AWS
Knowledge of CI/CD, testing, version control and infrastructure as code
Understanding of data quality, observability and governance
Ability to translate business needs into scalable data solutions and communicate with stakeholders
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