Analytics Engineer (m/f/d) - Supply Data Solutions - onsite in Hamburg

ABOUT YOU SE & Co. KG; Deutschland; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading eCommerce company in Germany is seeking an experienced Analytics Engineer (m/f/d) to manage and transform supply data into reliable datasets. Key responsibilities include building data pipelines, mentoring junior analysts, and collaborating with Data Scientists. The ideal candidate will have strong SQL and Python skills along with data engineering experience. This role offers flexible working hours, discounts, and various employee benefits in a modern office setting.

Leistungen

Flexible working hours

40% discount on online shop

Free sports courses

State-of-the-art tech stack

Relocation and VISA support

Qualifikationen

• At least 3 years of experience as a Data Engineer.
• Strong SQL skills (window functions, CTEs, performance tuning).
• Proficiency in Python for ETL/orchestration.

Aufgaben

• Identify overlapping data needs across forecasts and reporting.
• Simplify existing transformations for downstream teams.
• Build and monitor data pipelines using Python and GCP.

Kenntnisse

Strong SQL skills

Proficiency in Python

Experience with CI/CD

Data engineering experience

Mentorship abilities

Tools

GCP

Git

BigQuery

Jobbeschreibung

Company Description

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 ensure 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.

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 3 years of experience as a Data Engineer
• Strong SQL skills (window functions, CTEs, performance tuning)
• Proficiency in Python for ETL / orchestration
• Hands-on experience with CI/CD, Git, and GCP / BigQuery
• Proven track record of turning messy operational data into governed analytics layers
• Comfortable working with data scientists and analysts

Nice to have

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

Benefits

• Grow together with one of the fastest-growing eCommerce companies in Europe
• Flexible working hours
• 40% discount on our online shop
• Fresh fruits and drinks everywhere
• Language courses (German & English)
• Free sports courses & reduced gym membership
• Mobility subsidy
• Free choice of hardware and OS (Mac, Windows, Linux) for private use
• State-of-the-art tech stack on AWS
• Modern office in Hamburg city center
• International environment and English as company language
• Company flats (subject to availability)
• Agile work environment (MOVE) and cross-functional teams
• Free access to Germany's leading developer conference, code.talks
• Free Laracasts and Egghead accounts
• Relocation and VISA support

We are committed to creating an inclusive environment where all genders, nationalities, and ethnicities feel welcomed and accepted. Diversity contributes to our culture. We prioritize health, mental well-being, and overall health to retain talent and diversity. Our values support our mission: empowering acceptance and fostering an inclusive, fair, and circular fashion culture.