(Senior) Analytics Engineer - Supply Data Solutions (all genders)
An analytics engineer takes ownership of supply data at ABOUT YOU, building and maintaining Python/GCP data pipelines and reusable SQL mart tables that power pricing, demand planning, and inventory decisions. Day to day: transforming messy operational data, documenting lineage and data contracts, guarding platform health, and mentoring analysts.
- Compensation
- Not disclosed
- Location
- Germany
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 3+ years of professional analytics engineering experience with a track record of turning messy operational data into governed analytics layers
- Advanced SQL skills: complex CTEs, window functions, query optimisation
- Strong Python skills for ETL and orchestration
- Hands-on experience with GCP, BigQuery, Git, and CI/CD
- Methodically analyse complex, tangled systems and design structured improvement plans
- Proactive ownership of platform health: monitoring, governance, reliability
- Balance long-term clean system design with delivering immediate business value
- Collaborate across teams to establish data contracts and align upstream/downstream stakeholders
Nice to have
- Experience with modern transformation and orchestration tools like dbt or Dagster
- Familiarity with AWS core services (Batch, Lambda, Step Functions)
- Industry background or domain knowledge in supply chain or logistics
- Exposure to data cataloging and data observability platforms
Full description
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.
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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.
Your perks at a glance: Visit our benefits page.
Simply apply online via our career page - we will get back to you as soon as possible!