Senior Data Engineer - Finance Tech (all genders)

Das ist der Job

ABOUT YOU is one of Europe’s fastest growing e-commerce companies.

Darum lohnt es sich

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.

You will build a product that acts as a foundation for other data teams, improving their efficiency through custom‑made tooling, monitoring, data‑checks, connectors, cost controlling, testing, CI/CD, cataloging, etc.

Core-Reports Delivery: Take responsibility for the most critical reports in the company, which serve as the foundation for executive board decisions and act as a base for data teams in other departments. Experience maintaining and building modern data platforms and acting as a multiplier for other engineering teams.

You bring high energy, clarity, and a team‑first mindset to every discussion. 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. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.

Responsibilities Data Platform Ownership: Build, maintain, and drive the transition to our new Data Platform (Dagster, dbt, AWS ECS, and GCP GBQ). Core-ELT Pipelines: Maintain and optimize the biggest and most fundamental pipelines in the company.

You will be responsible for moving terabytes of data from MySQL in AWS to GBQ nightly, including daytime syncs that strictly avoid impacting source system performance. Qualifications Substantial, hands‑on experience in Data Engineering and Software Engineering, particularly with high‑volume, business‑critical pipelines.

Deep, practical experience with our target stack: Dagster, dbt, Google BigQuery (GBQ), and AWS (ECS). Strong software engineering fundamentals (CI/CD, testing, best practices, design patterns) applied to data engineering. Expert‑level SQL and Python skills. Knowledge of infrastructure setups (docker, terraform/cloudformation).

Pragmatic Excellence: You have a smart, fast brain and know data engineering best practices inside out, but you possess the pragmatism to know when to implement them and when to ship. Ego‑less Collaboration: You leave your ego at the door.

Strong Communication: Ability to grasp complex processes easily, communicate clearly with diverse stakeholders, and business fluent in English. #J-18808-Ljbffr