Data Engineer (all genders)
Distribusion Technologies
Job description
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.
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.
What you will do:
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.
Job requirements
Who you are:
- Hands-on with cloud platforms, especially GCP, and strong background with Big Data tools such as BigQuery, ElasticSearch, Kafka, and Airflow.
- Proficient in Python and SQL, with experience in frameworks like FastAPI.
- Have a strong understanding of databases like PostgreSQL and Redis, and monitoring tools such as Prometheus and Grafana, alongside Kubernetes for container orchestration.
- Knowledgeable about unit, integration, and end-to-end testing practices, focusing more on implementation than specific tools.
- Comfortable with CI/CD pipelines using GitLab or GitHub and bring basic DevOps skills.
- Experienced in using project management tools like Jira, with the ability to estimate timelines and provide reliable ETAs.
- Passionate about tackling complex data challenges, collaborating with others, and continuously learning and sharing ideas.
- You are driven, ambitious, and willing to get hands-on in shaping the future of ground transportation travel.
- You show ownership and responsibility for your problem space.
- You are fluent in English, both verbal and written.
What you can expect:
You will join a fast-paced travel tech company and take on a rapidly growing industry.
You will take on ownership and responsibility from day one and have a direct impact on the success of the company.
We value agility! We’re constantly updating our tech stack and offer the best possible tools to ensure all of our in-house engineers, partners, and carriers benefit from cutting-edge, efficient solutions.
You will work with global companies. Our product attracts the biggest names in travel technology, such as Booking.com and Google Maps, and national carriers like Amtrak, Deutsche Bahn, Renfe, and SNCF.
You will join an international team of talented and driven people with a clear mission. Expect your colleagues to inspire, support and challenge you every day!
We offer flexible and remote working conditions, relocation opportunities and career growth in a small and developing company.
Our hiring team for this role:
Apply to the job to enter the recruitment process and for any queries, please reach out to us at (talent@distribusion.com)
Do you want to work on a product that is used by millions of people daily with a high load, availability and scalability, and most advanced technology? Come join us!
- Berlin, Germany
- Berlin, Germany
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