Senior Geospatial Data Engineer

About The Role

Strava is the leading digital community for active people with more than 125 million athletes, in more than 190 countries. The platform offers a holistic view of your active lifestyle, no matter where you live, which sport you love and/or what device you use. Everyone belongs on Strava when they are pursuing an active life.

Strava is growing its mapping and data processing team. We are looking for a highly motivated and experienced geospatial software and data engineer to strengthen the team with their expertise.

This is a hybrid role based out of our Berlin, Germany or Chamonix, France office. Salary Range: €135,719 - €139,777

Our Mapping Stack

The Map Platform team you will be joining at Strava builds and maintains a broad range of data pipelines, APIs and services that make up the map platform, working at scale to bring a rich collection of geospatial data to our mobile and web clients. We employ a mix of Golang and Python depending on the context; in general we use Go for services and Python's excellent geospatial data processing ecosystem in our pipelines. Our code is deployed in containers orchestrated by Kubernetes (AWS EKS); and our data layer is heavily based on PostgreSQL(PostGIS) and S3.

Throughout our stack you will encounter a wide variety of geospatial data types, processing workflows and geospatial services including our own custom geospatial tile server written in Go. From raw satellite imagery pipelines to amazing winter mosaics and from global scale terrain processing to large scale ingestion of user tracked GPS traces - both vector and raster data are heavily represented throughout the stack.

You’re excited about this opportunity because you will:

• You don’t like Mapping but you love it.
• You and your team will take end-to-end responsibility for developing new features, following the full feature lifecycle.
• You will work closely with your fellow engineers and also Map Design, Product Management, and colleagues from other departments.
• You will be encouraged to discuss and challenge so that together we can share knowledge and experiences, always bettering ourselves as engineers to build and maintain the highest quality stack.
• You will directly impact the product experience by building a rich and informative map platform for over a hundred million of users.

We’re excited about you because you:

• Are highly proficient in geospatial pipeline orchestration, ideally have experience in Kubernetes, geospatial query development and spatial analysis as well as data storage, schema design and indexing.
• Have proven Golang expertise.
• Have experience with tooling for Geospatial data such as QGIS, GDAL, Rasterio, Shapely or other utilities in Python, Golang and shell scripting.
• Have experience in working with relational databases (e.g. PostgreSQL), use GIS extensions like PostGIS or similar.
• Have experience with queue and/or DAG based data pipelines, ideally processing large volumes of data in the cloud.
• Have a minimum of 6 years of working in the field.
• Are well informed and frequently experiment with the latest geospatial technologies.