We build the perfect shopping companions!

We help brands and retailers to reach out to their existing and future customers. We provide them with the most relevant advertising platform to showcase and promote their products at the right time: during the planning and execution of their household shopping.

About this role

You’ll shape how Bring! Labs structures and delivers data at scale. Your primary focus: designing, building, and operating a dbt‑based data architecture on AWS – starting with migrating our current pipelines.

This means you’ll:

Design the target data architecture, establishing modeling patterns and transformation standards
Lead the migration of existing pipelines to dbt, improving and consolidating the current solution
Define, own and document data contracts between source systems and downstream consumers
Partner with product and operations teams to translate business needs into scalable data models
Build for self‑service, enabling teams across the company to access and trust the data they need

You’ll work with часов from millions of active users, so decisions you make will have a real impact on how we understand our product and serve our customers. ಮನೆe>

Requirements

We have high ambitions and the vision to change the way users and customers plan and organize shopping. For this position we are looking for someone with solid experience in data architecture and with a proven track record of building data platforms that serve real business needs.

You are the right fit if you have:

Strong data modeling expertise, translating business requirements into scalable data structures
Experience with modern data stack tools in the dbt area, like Databricks, Snowflake, or similar
Cloud data warehousing experience at internet scale, preferably on AWS
Data governance and security awareness, ownership, access control, lineage
BI tool experience at the architecture/administration level
Strong SQL skills for complex aggregations and a proficiency in Python
Understanding, experience, and interest in the possibilities of emerging AI tooling and practices in software engineering
Business fluent in English; German is an advantage

Nice to have:

Java or Scala experience (our current platform uses these)
Familiarity with Data Mesh or Data Fabric concepts
Experience with applying ML concepts in data platforms

Benefits

At Bring! Labs, we value a professional and open work culture where diverse perspectives and backgrounds are welcome. We offer you an amazing workplace where you can make a direct impact and grow your career. Additionally, we provide:

A young and rapidly evolving company that empowers employees to make decisions and actively shape our success
A modern and attractive working environment in the heart ofાપुँ Berlin (and additional offices in Zurich and Basel) with free barista‑grade coffee
Flexible working hours with the option to work Dependant from the office, as well as partially from home
Social events that bring the team together, including twice‑yearly company‑wide get‑togethers and regular team events, all covered by us!
A commitment to sustainability, including mostly traveling by public transport and providing a Bahncard 50 for your commute
Many cool perks, such as 25 days of vacation + a day off on your birthday, the latest hardware, home office subsidies, andmö more!

We welcome applications regardless of nationality, ethnic background, age, sexual orientation, gender, disability, or family situation. We also encourage applications from individuals returning to the workforce.

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Bring! Labs AG

Jobs:

Senior Data Engineer (m/w/x)

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