Data Engineer (FMCG / Food / Retail industry experience)
Core
Design, develop, and maintain reliable ETL/ELT data pipelines across multiple business systems (ERP, TMS, WMS, finance, CRM, supply chain) to build a trusted organizational data foundation.
Role type
Senior Data Engineer (ETL/ELT & Data Quality)
Builds
Scalable data pipelines, analysis-ready datasets, and governed data products for business intelligence and AI applications.
Domain
FMCG / Food / Retail industry data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline development, Python, database development, systems integration, data quality validation, data modeling, SQL, data migration, automation, data governance, AI tooling implementation
Preferred skills
Cloud platform certifications, MDM implementation, agentic coding tools, prompt engineering, semantic layer construction
Technologies
Python, SQL, ERP, TMS, WMS, AI/LLM tools, data warehouse, data lake
Responsibilities
Design and maintain ETL/ELT pipelines; implement automated data-quality checks and validation controls; develop analysis-ready datasets for analysts; optimize database queries and processing routines; support data migration and cleansing during system implementations; build semantic foundations (glossaries, ontologies) for AI and agent-based tools; apply AI-assisted development tooling for code generation and review.
Seniority
Mid-to-Senior, hands-on IC