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

ABOUT YOU SE & Co. KG

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.

About ABOUT YOU SE & Co. KG

  • A Place Where You Can Be You We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
  • Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
  • What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
  • A Place Where You Can Be You We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
  • Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
  • What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
  • YOU is one of Europe’s fastest growing e-commerce companies.
  • Based in Hamburg and Berlin, we operate at the intersection of fashion and technology.
  • Our mission is to rethink online shopping and make it personal and seamless.
  • This takes more than good ideas.

Responsibilities

  • These solutions work in sync to guide daily operations in the Supply Unit at ABOUT YOU, supporting Pricing & Steering, Demand Planning, and Inventory Management.
  • 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.
  • 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.

Requirements

  • 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.
  • It takes people who take initiative and challenge the status quo.
  • We believe in flat hierarchies, direct communication, and pragmatic decisions.
  • No long approval chains.

Preferred

  • 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.

Benefits

  • Visit our benefits page .
  • Visit our benefits page .
  • We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings.

Simply apply online via our career page - we will get back to you as soon as possible!

Simply apply online via our career page - we will get back to you as soon as possible!

  • Just ownership, trust, and clear responsibility.
  • If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.