Data Engineer - B2B (m|w|d)
fulltime_permanent mid_levelJob Overview
At idealo, data guides every decision. To support this, we offer a compliant, scalable, and cost-efficient data platform within the AWS ecosystem – enabling insights and establishing company-wide standards.
As we shape the long-term vision of our data engineering team, we are looking for support in our B2B subteam, which currently consists of two engineers working on data products that benefit a wide range of internal stakeholders, such as sales & account management, finance, catalog development, CRM, marketing, and upper management.
This is an exciting time to join: you’ll become part of a team that’s growing together while setting the foundation for technical excellence, shared ownership, and impactful delivery – in an environment that values diverse perspectives, mutual support, and continuous learning.
The position as Data Engineer (m|w|d) is advertised as full-time or part-time.
About your new role
You will be part of the B2B subteam – one of three subteams in our 11-person data engineering agile team.
In this role, you will be jointly responsible for developing and operating data products with a high level of internal quality and data reliability. Through these products, you will help answer analytical questions that drive key decisions and create real business impact.
Working closely with cross-functional teams, you will take end-to-end ownership of data products that support business-critical reporting, performance metrics, and informed decision-making across B2B domains, including sales, finance, and inventory.
Additionally, you will collaborate closely with analysts and other data platform teams within the data unit.
We believe in ownership: you’ll take responsibility across the entire software engineering lifecycle and act as an advocate for data product quality and relevance, ensuring data is fit for steering, not just reporting. You bring a collaborative mindset, care about how we work together, and enjoy helping others grow while growing yourself.
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