Data Engineer (all genders)

at  Distribusion Technologies GmbH

Distribusion is the world’s leading ground transportation marketplace and gives travelers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com.
We are shaping the future of travel and building the largest global network of transport providers and retailers. We are one of the fastest growing startups in travel, backed by two leading VCs (TQ Ventures & Lightrock), and now, following our recent $80m Series C funding, we are ready to push beyond.
We are looking for a Data Engineer who is excited to work on complex data challenges in a rapidly evolving environment. In this role, you will manage large, high-velocity datasets and contribute to innovative solutions that are pioneering the ground transportation industry. Your work will have a tangible impact, with results visible to millions of users within hours or days.
As part of our team, you’ll play a key role in building and scaling our data architecture to support the company’s fast-paced growth. By integrating new data sources and maintaining existing ones, you will enable data-driven decisions that empower both internal teams and external users, driving the next phase of our data platform’s evolution.

WORKPLACE:

We are mainly looking for this role to be based within Germany, preferably in our HQ in Berlin. However, we are a remote-first company, with teams located around the Globe and open for talent based elsewhere.

• Data integration – introducing new batch and streaming data sources, maintaining existing ones, ensuring smooth ingestion and high data quality
• Identify opportunities to enhance the stability, reliability, and maintainability of the Data Platform, introducing new tools and impactful improvements, upgrading data architecture.
• Collaborate with cross-functional teams to ensure data-driven insights are easily accessible and actionable for both internal and external stakeholders.
• Become an expert in our data platform – building & maintaining pipelines to feed LLM with metadata & context to provide data platform documentation.