Analytics Engineer (all genders)

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. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by four leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond.

We're looking for a talented Analytics Engineer who thrives in solving complex, challenging problems with large volumes of high-velocity data. In this role, you'll be at the forefront of pioneering the ground transportation industry, tackling problems that few have approached before. You'll see the direct impact of your work quickly, with millions of end users experiencing the results of your efforts within days or even hours.

As part of our Data team, you will play a critical role in driving data-driven growth by transforming data into actionable insights for both internal and external users. You'll have end-to-end ownership of analytical reports, building and optimising data pipelines, conducting research to develop key metrics, and ensuring easy access to data products. Ultimately, you’ll help shape the future of ground transportation by delivering and supporting innovative data solutions.

What you will do:

• Build new Looker dashboards from scratch within tight deadlines (e.g., within a day).

• Become an expert on our data lake, understanding where data resides, its origins, and how it's processed.

• Identify and propose improvements to the Data Platform's reporting, focusing on creating easier-to-understand and faster-to-build reports.

• Quickly grasp the context of projects, identifying what’s essential and what might be missing to move forward effectively.

• Pay close attention to detail, ensuring all outputs are accurate through rigorous double- and triple-checking.

• Anticipate future challenges by thinking ahead and evaluating the long-term impact of decisions.

• Work autonomously, leveraging available resources like Google and AI tools (e.g., Gemini, ChatGPT) to solve problems and run experiments before seeking external input.
  

Workplace:

We are mainly looking for this role to be based within Germany, preferably in our HQ in Berlin.

Who you are:

• Proficient in Python and SQL, with a solid understanding of scripting and querying.

• Experienced in data visualisation tools, particularly Looker, Grafana, and various visualisation libraries beyond Matplotlib.

• Familiar with Big Data technologies like BigQuery, Kafka, and Airflow for handling large-scale data.

• Skilled in project management tools such as Jira, with the ability to estimate timelines and provide reliable ETAs for deliverables.

• Comfortable with version control tools like git and gitlab and working in cloud environments such as Google Cloud Platform (GCP).

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:

Your Talent Partner (TP) and point of contact is Juan Palau, and the Hiring Manager (HM) is Evgeny Pozdeev.
For any queries, please reach out to your Talent Partner at ( [email protected] ).

Do you want to work on a product that is used by millions of people daily with a high load, availability and scalability, and the most advanced technology? Come join us!