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Senior Data Engineer

Vor 4 Tagen

Basel, Schweiz Bring! Labs AG Vollzeit

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 data from millions of active users, so decisions you make will have a real impact on how we understand our product and serve our customers.

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 Flexible working hours with the option to work from our offices in Zurich or Basel, as well as partially from home Regular team and company events in an environment that actively fosters team spirit Environmentally friendly travel options, including a discounted public transport pass (Halbtax) for your commute Many cool perks, such as 25 days of vacation and a day off on your birthday, top-notch barista-quality coffee, the latest hardware, home office subsidies, and much 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. Our vision at Bring is to simplify grocery shopping for millions of people all over the world and to connect them with our partners from FMCG and retail. What We Value: Our values guide our decisions and form the foundation of how we work together. 1.

We Reach for the Stars ✨ We have high ambitions, appreciating our achievements while striving for continuous growth through change. 2. Only Together We Can Win 👫 We need everyone's best performance to reach our goals, celebrating each success as a team. 3. We Take Responsibility 🙌 Everyone bears responsibility, striving for a positive impact while helping others do the same. 4. We Trust 💙 We support each other and believe in open communication and inclusive decision-making.