(Senior) Analytics Engineer - Supply Data Solutions (all genders)

We are looking for an Analytics Engineer (m/f/d) who will take full ownership of our supply data and turn it into reliable, ready-for-analysis datasets. You’ll partner with Data Scientists, Analysts, and Supply stakeholders to make sure everyone works from the same clean source of truth At Supply Data Solutions, we build end-to-end data-driven decision-making tools. These solutions work in sync to guide daily operations in the Supply Unit at ABOUT YOU, supporting Pricing & Steering, Demand Planning, and Inventory Management. You will:

• Identify overlapping data needs across forecasts, optimisation, and reporting, and create reusable mart tables.
• Simplify existing transformations so downstream teams never rebuild the same logic.
• Build and monitor pipelines (Python + GCP) and keep them healthy.
• Document everything - schemas, lineage, and data contracts.
• Guard the platform: manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks.
• Mentor junior analysts and raise SQL skills across the whole Supply.
• 3+ years of professional analytics engineering experience (or similar), with a track record of turning messy operational data into governed analytics layers.
• Advanced SQL skills, routinely writing complex CTEs, window functions, and query optimisation.
• Strong Python skills for ETL and orchestration, alongside hands-on experience with GCP, BigQuery, Git, and CI/CD.
• Methodically analyse complex, tangled systems and design clear, structured plans for improvement.
• Take proactive ownership of the platform’s health, ensuring robust monitoring, governance, and reliability.
• Balance long-term, clean system design with the immediate need to deliver business value.
• Collaborate confidently across teams to establish data contracts and align upstream source teams, downstream consumers, data scientists, and analysts.

• Nice-to-Haves
• Experience with modern transformation and orchestration tools like dbt or Dagster.
• Familiarity with AWS core services, specifically Batch, Lambda, and Step Functions.
• Industry background or domain knowledge in supply chain or logistics.
• Exposure to data cataloging and data observability platforms.