Analytics Engineer – Supply Data Solutions

• Take full ownership of supply data and turn it into reliable, analysis-ready datasets
• Partner with Data Scientists, Analysts, and Supply stakeholders to establish a clean source of truth
• Identify overlapping data needs across forecasts, optimisation, and reporting
• Create reusable mart tables
• Simplify transformations to prevent downstream teams from rebuilding logic
• Build and monitor Python and GCP pipelines
• Document schemas, lineage, and data contracts
• Manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks
• Mentor junior analysts and improve SQL skills across the Supply organisation

• 3+ years of professional analytics engineering experience or similar
• Strong Python skills for ETL and orchestration
• Hands-on experience with GCP, BigQuery, Git, and CI/CD
• Advanced, high-performance SQL skills, including complex CTEs, window functions, and query optimisation
• Ability to analyse complex systems and design structured improvement plans
• Proactive ownership of platform health, monitoring, governance, and reliability
• Ability to balance long-term system design with immediate business value
• Cross-team collaboration to establish data contracts and align stakeholders
• Experience with modern transformation and orchestration tools such as dbt or Dagster is a nice-to-have
• Familiarity with AWS Batch, Lambda, and Step Functions is a nice-to-have
• Supply chain or logistics domain knowledge is a nice-to-have
• Exposure to data cataloging and data observability platforms is a nice-to-have

• Flat hierarchies and direct communication
• Team lunches
• Afterwork drinks
• Company events
• Inclusive and welcoming work environment
• Acceptance, inclusion, and fairer approach to fashion