Analytics Engineer
Germany, Remote
Applications have closed
Planet Labs Inc.
Planet provides global data daily, making changes visible, accessible, and actionable.Welcome to Planet. We believe in using space to help life on Earth.
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:
- Possess advanced SQL knowledge
- Superior analytics and data modeling skills, demonstrated via prior projects.
- 1+ years of experience with dbt
- Extensive experience working with git, Gitlab or Github
- Adaptability and openness to changes and challenges
- A positive, can-do attitude to work
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
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet's front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Classification Data analysis Engineering GCP Git GitHub GitLab Google Cloud Pipelines Privacy Research SQL
Perks/benefits: Career development Flex hours Team events
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