Data Analytics Engineer

Netherlands, Haarlem, Remote

Applications have closed

Planet Labs Inc.

Planet provides global data daily, making changes visible, accessible, and actionable.

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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 a Data 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 space missions engineers and customer success managers to understand our Satellite collection performance and order fulfillment. This role will support data requests from our Product team. The successful candidate will work closely with Product Managers in order to support any analysis and metrics requests to improve the development of our main products. 

Impact You’ll Own:

  • Answer challenging questions with data and metrics from our products
  • Build and maintain data models, dashboards and maps
  • Perform complicated analysis with data intersecting technology constraints,, space and satellite ephemeral information and geographical singularities
  • Improve communications between product and operations

What You Bring:

  • Possess advanced SQL knowledge
  • Superior analytics and data modeling skills, demonstrated via prior projects.
  • 3+ years of Python experience
  • Working in cross-functional teams that put customer requirements first
  • 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 in Geopandas or any Python geospatial analysis framework
  • Experience working with spatial aggregations and visualization such as H3
  • Google Cloud Platform knowledge, especially BigQuery
  • 1+ years of experience with dbt

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

Some Press About Us: 

Our CEO, Will Marshall featured on TED and featured in a Planet Blog

“Planet: Bringing Space Back Down to Earth”

Tiny, privately owned satellites are changing how we view the Earth features in NBC News

“Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace” —Planet Blog

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 Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

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Tags: BigQuery Classification Data Analytics Engineering GCP Google Cloud Privacy Python Research SQL

Perks/benefits: Career development Flex hours Team events

Regions: Remote/Anywhere Europe
Country: Netherlands
Job stats:  27  7  0

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