Analytics Engineer
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, and The Netherlands.
About the Role:
We are seeking an Analytics Engineer to join our Geospatial Data Support team in Berlin. Our team has built a geospatial data infrastructure from end to end to deliver data products in the form of apps, spreadsheets, dashboards and maps to several data consumers such as satellite tasking and product engineers, and customer success managers to understand our satellite collection performance and order fulfillment. This role will support the effort to get our data in shape, ready to be consumed and used by data analysts inside and outside our team.
Impact You’ll Own:
- Build and maintain geospatial data models, made from satellite telemetry to image footprints metadata
- Perform geospatial analysis in order to answer complex questions about the intersection of space, tech, geography and business
- Implement a semantic layer, building dbt pipelines from end to end, ending up with metrics that will be easily consumed by data analysis and applications
What You Bring:
- Advanced SQL knowledge
- Analytics and data modeling skills, demonstrated via prior projects.
- Experience with dbt (preferably 1+ years)
- Experience working with git, Gitlab or Github
- Adaptability and openness to changes and challenges
- A positive, can-do attitude to work
- Collaboration with various stakeholders
- Empathy and understanding the data consumers’ requirements
What Makes You Stand Out:
- Experience working with geospatial SQL functions in PostGIS
- Experience working with spatial aggregations and visualization such as H3
- Experience building semantic data models
- Google Cloud Platform knowledge, especially BigQuery
Benefits While Working at Planet:
- Additional company winter holidays and regular global days off
- Remote friendly work environment and flexible working hours
- Contribution to our growth by offering equity options for employees
- Giving back to the community - one day per quarter for charitable work
- Learning and Tuition Reimbursement
- Regular hack-weeks and meetup events to exchange knowledge
- Home office budget
- Employee Resource Groups providing empowering spaces for connection and mentorship