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Backend Engineer - Data Product

Please note: We have an ongoing recruitment process (no deadlines) meaning if this role is online it is still open. In case of a large volume of applications we might take the role down to allow our team sufficient time to review them thoroughly. In case we do not find a right match, we will repost the role again. 

About komoot

Komoot is an app that lets you find, plan, and share adventures with its easy route planner. Driven by a love for nature and powered by the outdoor community’s recommendations, komoot helps you explore more of the great outdoors — wherever and however you want. And we're good at it. Google and Apple have listed us as one of their Apps of the Year numerous times. Today, with over 40 million users and 300,000 five-star reviews, we are well on our way to becoming the most popular app for finding, planning, and sharing adventures worldwide. 

Join our 100% remote team and start your adventure with komoot.

About the role

As komoot’s next backend engineer, you’ll be joining a highly-motivated team of tech enthusiasts. We’re focused on impact, which is why we love to find simple and smart solutions to complex problems, and embrace modern technologies to face tough challenges.

Alongside a small team of top data scientists and backend engineers, you’ll work on komoot’s in-house technology and bring novel data solutions to production. This role sits in our Smart Tour squad, a business-critical endeavor redefining the way we build algorithmic route suggestions from recorded activities globally. Join us if you love crunching data in the cloud, scalable and resilient services, clean and tested code bases, infrastructure as code, and automating workflows.

Ready for your next adventure?

What you’ll do  

  • Advise and support data scientists on the integration of their data solutions to the production environment.
  • Ensure the robustness, reliability, and availability of business-critical systems through infrastructure automation and monitoring.
  • Work on data-intensive components that facilitate the time-sensitive processing and flow of large data sets from a variety of sources.
  • Participate in the full lifecycle development of solutions including concept, road maps, implementation, testing, deployment, and maintenance.
  • Find solutions to efficiently store, query, and process large data sets.
  • Use distributed computing to process data workloads efficiently, reliably, and at scale using AWS.
  • Develop the Smart Tour data architecture and establish best practices for consistency and efficiency.

Why you’ll love it 

  • Your work will contribute to helping millions of people enjoy lovely outdoor experiences.
  • We’ve been a remote-working company since 2017, meaning: We are remote by default, have frameworks and systems in place, and know how to do it well.
  • You can work from wherever you want, be it a beach, the mountains, your house, or anywhere else that lies in any time zone between UTC-1 and UTC+3.
  • We have your costs covered for your co-working space membership or your work-from-home office setup and the latest devices and equipment to do your best work.
  • You’ll become an essential part of our diverse and international team with colleagues based in 20+ countries across Europe.
  • 38 paid days off (inclusive public holidays) – you are free to take those days whenever it suits you, including a well-deserved winter holiday break.
  • We love seeing people grow. That's why each team member gets €2,000 and 3 additional days to spend on professional development each year. Classes, conferences, books – your choice!

You’ll be successful in this role if you

  • Are highly self-driven, responsible, and keen to learn and improve
  • Are a strong team player and a strong communicator
  • Have 2+ years of professional experience with Python
  • Have 2+ years of professional experience in developing distributed and resilient backend services
  • Have experience with both SQL and NoSQL data storage solutions
  • Have knowledge of modern big data technologies
  • Have been responsible for configuring and running applications in production on AWS, Google Cloud, Microsoft Azure, or Kubernetes
  • Have experience with Infrastructure as Code, continuous integration and deployment, and monitoring
  • Bonus: Have knowledge of GIS
  • Bonus: Have an interest in data engineering

Not sure if you meet all requirements above? Don't sweat it — if you think you're the right person anyway, we'd love to hear from you!

Curious about how we work? 

  • Core Communication time between 10 am – 3 pm (Berlin Time). We know people have different lifestyles, which is why we have flexible working hours with core time for synchronous interaction. You can organize your workday in the way that best suits you, your family, and your needs.
  • We work on a project basis in cross functional teams to ensure that we collaborate on our goals, move forward smoothly with open lines of communication, and achieve results as a team.
  • Every Monday morning, we have a whole-company presentation where you hear about projects across the business, inspire each other, and share great work.  
  • We connect in person at three whole-company gatherings each year in beautiful locations. You can check out this playlist to find out more about how we stay close while being remote.
  • We use tools like Trello, Slack, Miro, Zoom, and Google Workspace on a daily basis to stay connected, collaborate easily, and manage projects.  

Dive a little deeper and learn…

  • More about how we work here: How We Work
  • More about our recruitment process, salary and FAQs here: FAQs

We support diversity and inclusivity and welcome all prospective applicants.  We have an ongoing recruitment process (no deadlines) – if this role is online, it means it’s still open!

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CEO of komoot
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Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

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What You Should Know About Backend Engineer - Data Product, komoot

Join Komoot as a Backend Engineer - Data Product and become part of a passionate team dedicated to redefining outdoor experiences through technology! At Komoot, we’ve created an innovative app that empowers people to explore the great outdoors, and we want you to help us enhance it even further. As a Backend Engineer, you’ll dive into the heart of our Smart Tour squad, focusing on building robust data solutions that facilitate intelligent route suggestions based on real-world activities. What’s exciting about this role is that you’ll collaborate closely with skilled data scientists and fellow engineers, tackling complex challenges with smart, scalable solutions. Your responsibilities will include ensuring the reliability of our systems, processing large datasets efficiently, and developing best practices for data architecture. Plus, with our remote-first approach, you can work from anywhere – be it a beach, a mountain cabin, or your cozy home office. We prioritize professional growth too, offering generous development budgets and paid time off to recharge. Imagine making a real impact on adventurers worldwide while working within an environment that puts your well-being and professional journey first. If you’re a self-driven individual ready to embrace new challenges and continuously learn, we’d love to see your application. Your adventure with Komoot starts here!

Frequently Asked Questions (FAQs) for Backend Engineer - Data Product Role at komoot
What are the responsibilities of a Backend Engineer - Data Product at Komoot?

As a Backend Engineer - Data Product at Komoot, you will be responsible for supporting data scientists in integrating their solutions into production, ensuring the robustness and reliability of crucial systems through infrastructure automation, and working on data-intensive components that handle large datasets. You’ll participate in the full lifecycle of solution development, from concept creation to deployment and maintenance, all while employing distributed computing to process data workloads efficiently.

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What qualifications do I need to apply for the Backend Engineer - Data Product role at Komoot?

To apply for the Backend Engineer - Data Product position at Komoot, you should have at least 2 years of professional experience in Python and backend service development. Familiarity with both SQL and NoSQL storage solutions, alongside experience in configuring applications on cloud platforms like AWS or Google Cloud, is essential. Additionally, knowledge of modern big data technologies and Infrastructure as Code practices will significantly strengthen your candidacy.

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How does remote work function for Backend Engineers at Komoot?

At Komoot, all positions are remote-friendly since 2017. As a Backend Engineer - Data Product, you can choose your ideal work environment, from anywhere between UTC-1 and UTC+3. We’ve established effective frameworks to ensure smooth communication and collaboration, even if teams are spread across multiple time zones. You’ll engage in core communication hours and project-based work that promotes teamwork and camaraderie.

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What can I expect in terms of professional development as a Backend Engineer at Komoot?

As a Backend Engineer - Data Product at Komoot, you can expect robust support for professional development. Each team member receives €2,000 annually and three additional paid days to dedicate to enhancing their skills. Whether your interests lie in classes, conferences, or new learning materials, we encourage you to pursue growth, making sure you stay updated with the latest industry trends and advancements.

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What does the company culture look like for Backend Engineers at Komoot?

The culture at Komoot is welcoming and inclusive, with a strong focus on fostering collaboration and innovation among remote team members. As a Backend Engineer - Data Product, you’ll connect with colleagues from over 20 countries through regular communication and team-building activities, ensuring a tight-knit community despite physical distance. Expect an environment where feedback is valued, ideas are shared openly, and personal growth is prioritized.

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Common Interview Questions for Backend Engineer - Data Product
Can you describe your experience with backend service development?

When answering this question, detail specific projects where you developed backend services, focusing on the technologies you utilized, challenges you faced, and how you overcame them. Show the interviewer your problem-solving approach and your expertise in distributed systems, emphasizing your familiarity with programming languages and frameworks relevant to the position.

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How do you ensure the reliability and performance of a backend system?

Discuss measures such as implementing monitoring solutions, conducting load testing, and using automated deployment processes. Explain how these practices help maintain system performance and reliability. Providing real-world examples from your previous roles where you enhanced system performance will strengthen your response.

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What is your approach to handling large datasets in your projects?

Talk about your experience with data processing techniques, including any big data technologies you've used. Describe how you efficiently store, query, and process large amounts of data. Sharing examples of specific tools or cloud services, such as AWS or Google Cloud, can demonstrate your practicality and expertise in working with large datasets.

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How familiar are you with Infrastructure as Code (IaC)?

Discuss your knowledge of IaC principles, tools like Terraform or AWS CloudFormation, and how you've implemented them in past projects. Illustrate the benefits of IaC in terms of consistent environment setups, automation, and improved collaboration among teams, showcasing your technical understanding and hands-on experience.

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Can you explain your experience with using SQL and NoSQL databases?

Provide a clear comparison of SQL and NoSQL databases, explaining situations where each has an advantage. Share specific projects where you utilized these databases, detailing how you chose the right solution for the task at hand based on data requirements, scalability, and performance needs.

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What strategies do you use to optimize backend code?

Talk about profiling code performance, identifying bottlenecks, and utilizing best coding practices to maintain clean, efficient, and well-documented code. Explain your approach towards code reviews, continuous integration, and automated testing as part of your strategy to ensure high-quality backend solutions.

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How do you keep yourself updated with industry trends and advancements in backend development?

Share resources such as blogs, online courses, conferences, and forums you engage with regularly. Explain the importance of continuous learning in your career and how you apply new knowledge or technologies to your projects, showing your dedication to professional growth in backend development.

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Can you describe a challenging project you've worked on and how you overcame the challenges?

Choose a specific project that presented technical challenges. Discuss the nature of the challenges, the thought process you used to analyze and address them, and the successful outcome achieved. This shows your problem-solving skills, resilience, and ability to collaborate with a team during tough times.

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How do you prioritize tasks when handling multiple projects?

Explain your method for task prioritization, such as using tools like Trello or a personal Kanban board. Discuss how you assess deadlines, project importance, team needs, and unexpected challenges, showing your ability to stay organized and focused amidst multiple responsibilities.

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What tools do you use for version control, and why are they important?

Discuss your experience with version control systems, primarily Git, and how they facilitate collaboration and maintain code integrity in a team environment. Explain the importance of version control in tracking changes, managing features, and rolling back to previous versions when necessary.

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DATE POSTED
March 19, 2025

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