Analytics Engineer (all genders) - Supply Data Solutions

Location: Hamburg, de, Remote

Company Description

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

Job 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.

Qualifications

• 3+ years of professional analytics engineering experience (or similar), with a track record of turning messy operational data into governed analytics layers.

• Strong Python skills for ETL and orchestration, alongside hands-on experience with GCP, BigQuery, Git, and CI/CD.

• Write advanced, high-performance SQL using complex CTEs, window functions, and query optimisation.

• 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.

Additional Information

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!

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.

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!

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.