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Analytics Engineer (m/w/d) – Supply Data Solutions – onsite in Hamburg

About You - Collins GmbH & Co. KG

Hamburg

Hybrid

EUR 55.000 - 75.000

Vollzeit

Vor 30+ Tagen

Zusammenfassung

A leading e-commerce company in Hamburg is seeking an experienced Analytics Engineer to take ownership of supply data and collaborate with Data Scientists and Analysts. The ideal candidate has strong SQL and Python skills, with experience in building data pipelines and mentoring junior team members. This role offers a hybrid work model and a vibrant work culture that promotes an inclusive environment.

Leistungen

Sports courses
Exclusive employee discounts
Free drinks
Language courses
Help in the relocation process
Mobility subsidy
State-of-the-art technology
Central Location
Flexible Working Hours
Professional training
Dog-friendly office
Feedback Culture
Job Bikes

Qualifikationen

  • At least 3 years of experience as a Data Engineer.
  • Proven record turning messy operational data into governed analytics layers.
  • Comfortable working with both data scientists and analysts.

Aufgaben

  • Identify overlapping data needs across forecasts and create reusable mart tables.
  • Build and monitor pipelines (Python + GCP) and keep them healthy.
  • Mentor junior analysts and raise SQL skills across the whole Supply.

Kenntnisse

Strong SQL
Python for ETL/orchestration
CI/CD, Git
Data governance

Tools

GCP
BigQuery
Jobbeschreibung

We are looking for anAnalytics 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

AtSupply 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 atABOUT YOU, supporting Pricing & Steering, Demand Planning, and Inventory Management.

What you will do
  • 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.
Who you are
  • At least 3years of experience as a Data Engineer
  • Strong SQL (window functions, CTEs, performance tuning).
  • Python for ETL / orchestration.
  • Hands-on with CI/CD, Git, and GCP / BigQuery.
  • Proven record turning messy operational data into governed analytics layers.
  • Comfortable working with both data scientists and analysts.

Nice to have:

  • Dagster or dbt.
  • AWS (Batch, Lambda, Step Functions).
  • Supply-chain / logistics domain knowledge.
  • Experience with data catalog / observability tools.

Sports courses

Exclusive employee discounts

Free drinks

Language courses

Help in the relocation process

Mobility subsidy

State-of-the-art technology

Central Location

Flexible Working Hours

Professional training

Dog-friendly office

Feedback Culture

Job Bikes

YOU ARE THE CORE OFABOUT YOU.
We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities, and ethnicities feel welcomed and accepted exactly as they are. We believe that a diverse workforce essentially contributes to the ABOUT YOU culture. To maintain talent and diversity, we emphasize the care for physical health, mental health, and overall well-being. Our values and work ethics essentially contribute to our brand mission: empower acceptance and shape an inclusive, fair, and circular fashion culture.

We are looking forward to receiving your application – preferably via our online application portal! Thus, we can ensure a faster process and for you, it is very easy to upload your application documents. :-)

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