Senior Associate Data Engineer – Consumer Products AI

About the role

This role requires strong hands-on experience in SQL, Python, relational data modeling, and data warehousing. The candidate will design and implement data pipelines, data models, and validation workflows, and is expected to scope features and make architecture decisions rather than execute only within a pre-defined scope.

What you'll do

• Operationalize the annual benchmarking cycle: build cohorts from defined selection criteria, calculate benchmarks and quartiles, validate the output
• Design and execute data cleaning rules that improve structural validity across the benchmark database
• Scope, design, and build platform features that strengthen the data pipeline
• Make schema and architecture decisions across the ingestion, metric calculation, and benchmarking pipeline, ensuring solutions are scalable, automated, and maintainable
• Gather business requirements and process knowledge from Strategy & Ops, and translate them into scalable data models, transformations

What you need

• 6–11 yrs of experience
• SQL
• Python
• ETL
• Data modelling
• Data warehousing
• Any graduate

Good to have

• AWS
• LLMs
• Git
• SQL Server
• CI/CD
• PHP