Analytics Engineer (all genders)

Description

Job Overview

• Role: Analytics Engineer (all genders)
• Company: Distribusion Technologies
• Location: Berlin
• Employment Type: Full-time permanent
• Category / Department: Information technology, bachelor's degree
• Salary: Competitive / Not Disclosed — confirm during interview
• Key Skills / Technologies: Information technology, bachelor's degree
• Listing Source: Arbeitnow

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. 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 (

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!

Find Jobs in Germany on Arbeitnow

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume and application screening
2. Introductory phone or video call with HR
3. Role-specific skill or competency interview
4. Final interview with the hiring manager or panel
5. Reference checks and offer discussion

Tip: Research the company's products, culture, and recent news thoroughly before each interview round.

About the Employer

Distribusion Technologies is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Berlin. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from Arbeitnow.

How to Apply & Preparation Tips

To apply for the Analytics Engineer (all genders) position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Key skills relevant to this role include: Information technology, bachelor's degree. Ensure these are prominently featured on your resume and LinkedIn profile.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.