Analytics Engineer (all genders) - Supply Data Solutions

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Hamburg, DEU
In-Office or Remote
Mid level
Retail • Software
The Role
Own supply data by building reliable analytics datasets, reusable data marts, and monitored pipelines. Partner with analysts, data scientists, and supply stakeholders to establish data contracts and a shared source of truth. Responsibilities include Python and GCP pipeline development, SQL optimization, documentation, IAM and access governance, cost and performance monitoring, data quality checks, and mentoring junior analysts.
Summary Generated by Built In
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.

Skills Required

  • 3+ years of professional analytics engineering experience or similar experience transforming messy operational data into governed analytics layers
  • 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 optimization
  • Ability to analyze 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
  • Confident cross-functional collaboration to establish data contracts and align stakeholders
  • Experience with dbt or Dagster
  • Familiarity with AWS Batch, AWS Lambda, and AWS Step Functions
  • Supply chain or logistics industry knowledge
  • Exposure to data cataloging and data observability platforms
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The Company
HQ: Hamburg
196 Employees
Year Founded: 2018

What We Do

SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.

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