Analytics Engineer (all genders)

Distribusion is the world’s leading ground transportation marketplace and gives travellers 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 over 70 countries with the largest 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 the travel industry, backed by leading venture capital investors including TQ Ventures, Lightrock, Creandum, and Northzone, and are headquartered in Berlin, Germany. Following our recent $80m Series C funding, we are ready to push beyond.

We're looking for an experienced Analytics Engineer to own our Data Build Tool project and semantic layer end-to-end. You'll join our Data Platform team and work directly with our data engineers, an analytics engineer, and stakeholders across the business. Your work reaches internal users and external data products that serve millions of travellers.

What you will do:

• Own and evolve our DBT project: model design, incremental strategies, testing, documentation, and the semantic / reporting layer that serves the business.

• Raise the bar on data quality. Build tests, contracts, freshness checks, and monitoring so problems are caught by the pipeline, not by a stakeholder in a meeting.

• Own metadata and lineage. Make it easy for engineers and stakeholders to find what exists, understand where it comes from, and judge whether they can rely on it.

• Improve the development process around dbt: CI, PR review, local testing, release workflow. The tooling should stay out of the way of the work.

• Partner with stakeholders. Translate fuzzy questions into concrete requirements, challenge them when they need sharpening, and close the loop once the work lands.

• Build reports when they're needed, but invest just as much in the models and semantic layer that make future reports cheap. Move the team towards self-service where it makes sense.

• Push the team forward on tooling and process. As the data stack evolves, bring new ideas in - AI-assisted development, better testing patterns, improved self-service - and help the team adopt what's worth adopting.

Who you are:

• Several years of experience as an Analytics Engineer, or an adjacent role where you owned the transformation layer end-to-end.

• Solid experience running DBT in production: model design, incremental strategies, testing, macros, documentation, CI.

• Strong SQL: window functions, query tuning, knowing when a CTE should become a materialised model. Comfortable with a cloud data warehouse at scale - BigQuery is a plus.

• You bring AI tooling into your daily workflow - code generation, test authoring, documentation, refactoring. You know where it helps and where it gets in the way.

• Adaptable to changing tooling and process, disciplined about modelling conventions. You know the difference between "this convention is outdated" and "this convention is what keeps the project alive".

• Strong written and spoken English. You'll spend as much time talking to stakeholders as writing code.

• Curious about adjacent work in the data stack - Kafka, Airflow, warehouse internals. Not required, but a plus.

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 Cruz 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!