Senior Data Engineer - Data Foundations (all genders)

Posted 4 Days Ago
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Hamburg, DEU
Hybrid
Senior level
Retail • Software
The Role
Own and evolve the company’s data platform, including Dagster, dbt, AWS ECS, and BigQuery. Build tooling, monitoring, testing, connectors, and CI/CD capabilities; maintain high-volume ELT pipelines moving terabytes from MySQL to BigQuery; and deliver critical executive reports. Apply strong Python, SQL, software engineering, infrastructure, and data platform expertise while collaborating pragmatically with engineering and business stakeholders.
Summary Generated by Built In
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. 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. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.

Job Description

  • Data Platform Ownership: Build, maintain, and drive the transition to our new Data Platform (Dagster, dbt, AWS ECS, and GCP GBQ). 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-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.
  • 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.

Qualifications

  • Substantial, hands-on experience in Data Engineering and Software Engineering, particularly with high-volume, business-critical pipelines.
  • Experience maintaining and building modern data platforms and acting as a multiplier for other engineering teams.
  • 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. You bring high energy, clarity, and a team-first mindset to every discussion.
  • Strong Communication: Ability to grasp complex processes easily, communicate clearly with diverse stakeholders, and business fluent in English.

Additional Information

Your perks at a glance: Visit our benefits page.

Simply apply online via our career page - we will get back to you as soon as possible!

A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.

Skills Required

  • Substantial hands-on experience in data engineering and software engineering, especially with high-volume, business-critical pipelines.
  • Experience maintaining and building modern data platforms that improve the efficiency of other engineering teams.
  • Practical experience with Dagster, dbt, Google BigQuery, and AWS ECS.
  • Strong software engineering fundamentals, including CI/CD, testing, best practices, and design patterns, applied to data engineering.
  • Expert-level SQL and Python skills.
  • Knowledge of infrastructure setups such as Docker, Terraform, or CloudFormation.
  • Pragmatic approach to applying data engineering best practices and delivering solutions efficiently.
  • Ego-less collaboration and a team-first mindset.
  • Strong communication skills and ability to understand complex processes.
  • Business-fluent English.
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The Company
HQ: Hamburg
196 Employees
Year Founded: 2018

What We Do

SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.

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