About komoot
Komoot is an app that lets you find, plan, and share adventures. It’s driven by a desire to explore and powered by the outdoor community’s recommendations. And we're good at what we do: Google and Apple have numerous times listed us as one of their Apps of the Year. And with more than 30 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 remote-first team and begin your adventure with komoot.
About the role
At komoot, data plays a crucial role in making the best decisions possible. As our new Senior Analytics Engineer, you’ll team up with Matt (Senior Analytics Engineer) and Jørgen (Senior Data Engineer) to make large amounts of data useful and prepare it for analysis. Sitting at the intersection of business teams, data analysts, and engineers, you’re responsible for bringing robust, efficient, integrated data models and products to life.
Ready for your next adventure?
What you’ll do
- Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models.
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Write production-quality ELT code (SQL, dbt) with an eye towards performance and maintainability.
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Work with data engineers on infrastructure projects.
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Create and maintain architecture and systems documentation.
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Maintain our data catalog as a scalable resource to support self-service and single-source-of-truth analytics.
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Provide data modeling expertise to all team members through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries.
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Approve data model changes as code owner for specific database and data model schemas.
- Improve, manage, and teach code maintainability and performance standards in code submitted and reviewed.
Why you’ll love it
- You’ll work with a genuinely inspiring product that brings real-life value to millions of people and empowers them to explore more of the great outdoors.
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Your expert knowledge will make you a key player amongst a team of highly motivated, talented people.
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We take on challenging tasks, such as building operational tools to enable our sales teams to drive growth or building an experimentation platform for our product squads.
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You’ll work with a modern data stack (Redshift, Airflow, dbt, Metabase). We’re always looking for ways to improve our tools and processes, and we want you to help us shape the future of analytics engineering at komoot.
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We frequently celebrate achievements and exchange learnings in our team. You’ll have plenty of opportunities and support to master your craft and develop your expertise.
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You’ll join an international and fully remote team spread across Europe. You can work from anywhere within UTC-1 to UTC+3 time zones. As we’ve been remote-first since 2017, we know a thing or two about how to do this well.
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Whether you work from home or a co-working space, we cover the costs to create an environment where you can do your best work.
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You’ll get 38 days of paid time off (public holidays included). Plus, three additional days and 2,000 EUR to dedicate to your personal growth.
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You’ll travel to beautiful locations three times each year to meet up with the whole company for a week of exchanging ideas, hanging out, and going on amazing outdoor group adventures.
- You can check out these videos to find out more about how we stay close while being remote. [Get to know the Komoot Team]
You’ll be successful in this position if you
- Have 5+ years of experience working as an analytics engineer, data engineer, data analyst/scientist, or in a similar data role.
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Are a SQL expert and write performant and maintainable data transformation code.
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Have experience using dbt for data modeling.
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Are comfortable using Python for developing data ingestion and processing pipelines (e.g. Airflow).
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Have experience working with cloud data warehouses (e.g. Redshift, Snowflake, BigQuery).
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Are comfortable using Git (GitHub) for version control and code reviews.
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Have experience working with visualization and dashboarding tools (e.g. Metabase, Looker, Tableau).
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Understand business needs and translate abstract problems into technical solutions.
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Communicate with empathy and share complex ideas in clear and simple language.
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Work autonomously and manage your own projects to meet deadlines.
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Are a team player and enjoy supporting others and sharing your knowledge.
