Working Student, Data Engineering
Berlin, Germany
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, Austria, Slovenia, and The Netherlands.
About the Role:
We are seeking a working student to join our Data team in Berlin. The ideal candidate is curious, passionate, and driven about data. You will gain first-hand experience in geospatial and enterprise data engineering, from data ingestion through modeling and analysis. You’ll build data products and solutions such as dashboards, self-service tooling, and data pipelines for consumers across Planet, leveraging tools including git, dbt, python, SQL and Omni. What you deliver will be used to improve satellite collection performance, business strategy, and overall customer satisfaction.
Impact You’ll Own:
- Build self-service data tooling as well as metrics dashboards and maps
- Build data models to transform business problems into actionable metrics
- Database querying to reply to product, business and/or operational problems
- Document data models and infrastructure
- Perform data analysis to improve Planet operations
What You Bring:
- Studying software or data engineering related courses
- Sound SQL skills
- Basic experience with data visualization and python
- Proven reliability and accuracy in analytics work
- Comfort working in a dynamic and fast-paced environment
- Ability to organize, prioritize and execute multiple projects
- Willingness to learn and collaborate across teams
- Fluent in written and spoken English
- A belief in Planet’s mission and values
What Makes You Stand Out:
- Experience working with dbt and Looker, Omni or other self-service data tooling
- Experience building and debugging CI/CD pipelines
- Experience working with geospatial tools and formats (e.g., GeoJSON, geopandas and CARTO)
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
- Access to LinkedIn Learning
- 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. Know Your Rights.
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 hiring process, please reach out to accommodations@planet.com 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: CI/CD Classification Data analysis Data pipelines Data visualization dbt Engineering Git Looker Pipelines Privacy Python Research SQL
Perks/benefits: Career development Flex hours Team events
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