Senior Software Engineer (Data) - Data Foundations (all genders)

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Senior level
Retail • Software
The Role
Build and own a modern data platform using Dagster, dbt, AWS ECS, and BigQuery. Maintain high-volume, business-critical ELT pipelines and executive-level reporting. Develop tooling for monitoring, data quality checks, connectors, cost control, testing, CI/CD, and cataloging. Apply strong software engineering practices to data engineering while collaborating with diverse stakeholders and communicating clearly in English.
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. 

  • 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

  • Hands-on experience in Data Engineering or Software Engineering, particularly with high-volume, business-critical pipelines.

  • Experience maintaining and building modern data platforms.

  • Modern data platform experience (we use Dagster, dbt, BigQuery, and AWS ECS). If you’ve built similar setups with equivalent tools, your skills will transfer easily

  • 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).

  • You’re pragmatic and can tell when the best-practice version is worth another week and when it’s time to just ship.

  • You communicate effectively, grasp complex processes easily and communicate concisely with diverse stakeholders (fluent in English), cutting through noise to focus on what matters.

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!
(Please note that benefits may vary depending on the location)

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 fairness

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

  • Hands-on experience in data engineering or software engineering, particularly with high-volume, business-critical pipelines
  • Experience maintaining and building modern data platforms
  • Experience with Dagster, dbt, BigQuery, AWS ECS, or equivalent modern data platform tools
  • Strong software engineering fundamentals, including CI/CD, testing, best practices, and design patterns, applied to data engineering
  • Expert-level SQL skills
  • Expert-level Python skills
  • Knowledge of infrastructure setups, including Docker and Terraform or CloudFormation
  • Fluent English communication skills
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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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