Analytics Engineer - Supply Data Solutions (all genders) Hamburg, Germany

About You - Collins GmbH & Co. KG; Hamburg; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

About You - Collins GmbH & Co. KG in Hamburg is seeking an Analytics Engineer (m/f/d) to take full ownership of our supply data and turn it into reliable, ready-for-analysis datasets.

You will partner with Data Scientists, Analysts, and Supply stakeholders to ensure everyone works from one clean source of truth. You will identify overlapping data needs, build reusable mart tables, and monitor pipelines (Python + GCP).

Qualifikationen

• Experience turning data into analysis-ready datasets.
• Ability to build scalable data models and marts.
• Strong SQL and data quality skills.

Aufgaben

• 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.

Kenntnisse

SQL proficiency

Data analysis

Data wrangling

Stakeholder collaboration

Tools

Python

Google Cloud Platform (GCP)

Jobbeschreibung

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.