Analytics Engineer (all genders) - Supply Data Solutions

ABOUT YOU; Hamburg; Vor Ort; EUR 60.000 - 75.000; Vollzeit

Zusammenfassung

ABOUT YOU is seeking an Analytics Engineer (m/f/d) based in Hamburg to take full ownership of supply data, ensuring reliability and accessibility for analysis.

The ideal candidate has over 3 years of data engineering experience, proficient in Python and GCP, and a strong understanding of SQL for complex data queries. This role involves building pipelines, documenting processes, and mentoring analysts.

Join us to innovate at one of Europe’s fastest growing e-commerce companies!

Qualifikationen

• 3+ years of professional data engineering experience.
• Strong Python skills for ETL and orchestration.
• Experience with GCP, BigQuery, and SQL.

Aufgaben

• Identify overlapping data needs and create reusable mart tables.
• Simplify existing transformations.
• Build and monitor pipelines using Python and GCP.

Kenntnisse

Data engineering experience

Python skills for ETL

GCP and BigQuery

Advanced SQL skills

Collaboration skills across teams

Tools

BigQuery

Git

CI/CD tools

Jobbeschreibung

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.

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.

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 data engineering experience, 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.