Senior Data Engineer, Constellation Services

RxREVU, Inc.; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Paid time off

Wellness program

Home office reimbursement

Phone & Internet reimbursement

Tuition reimbursement

Equity

Volunteer time off

Zusammenfassung

Planet Labs Germany GmbH is seeking a Senior Data Engineer to own and build end-to-end data pipelines and self-service tooling. You will work with cross-functional stakeholders across the company to translate needs into robust, scalable solutions across the data stack in a Berlin hybrid environment.

Responsibilities include architecting data systems, implementing pipelines from ingestion to insight, and mentoring team peers.

Qualifikationen

• 6+ years of relevant experience.
• Bachelor's degree in a relevant field.
• Experience designing and implementing data architecture end to end.
• Expertise in Python and SQL ETL pipeline buildout.
• Experience with the modern data stack: Fivetran, dbt, Looker/Omni/Sigma, or similar.

Aufgaben

• Develop and own robust, accurate data pipelines and troubleshoot existing ones.
• Deliver self-service data tooling, visualizations and insights for CxS products.
• Collaborate to define and develop the CxS data roadmap.
• Provide mentorship and code reviews for peers within the team and organization.

Kenntnisse

Python

SQL

ETL pipelines

Data architecture

Cloud architectures

Geospatial data

Cross-functional

CI/CD

Ausbildung

Bachelor's degree in a relevant field

Tools

Fivetran

dbt

Looker/Omni/Sigma

GitLab CI

Docker

GCP

AWS

Jobbeschreibung

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:

As a Senior Data Engineer (DE) at Planet, you will own, design and build enterprise ETL pipelines and self-service data tooling using modern cloud technologies. You will work closely with cross-functional stakeholders across the company to understand their needs and to deliver robust, flexible solutions and clear insights to meet those needs. You will build data solutions end to end: architecture, implementation, CI/CD and orchestration of pipelines, QA, visualization and effective data communication. You'll be part of the Data Team within the Software Engineering organization, which is made up of data scientists, engineers and analysts working on similar tasks across Planet domains.

You will own the ongoing evolution of data solutions supporting monitoring and analysis of Planet's Missions team and Constellation Services (CxS) products, a new line of products which support large customers in buying secure access and reserved capacity on our satellites. You will collaborate closely with CxS-focused counterparts on our Product, Engineering, Space Systems and Commercial orgs to ensure they have the data they need to evaluate the success of the products. This role will appeal to candidates who are looking for opportunities to evolve a complex data system end to end and bring needed technology to the defense and intelligence sector.

This is a full-time, hybrid role which will require you to work from our Berlin office 3 days per week.

Impact You'll Own:

• Develop and own robust, accurate data pipelines as well as maintain, troubleshoot, and improve existing ones
• Deliver self-service data tooling, visualizations and insights needed to drive decision making and monitoring around CxS products
• Collaborate with stakeholders, your manager and peers to define and develop the CxS data roadmap
• Provide mentorship, technical design feedback and code reviews for peers within your team and across the broader org

What You Bring:

• 6+ years of relevant experience
• Bachelors' degree in a relevant field
• Experience designing and implementing data architecture for data solutions end to end, from ingestion through insight and with an eye for data accuracy
• Expertise in Python and SQL ETL pipeline buildout
• Experience with the modern data stack: Fivetran, dbt, Looker/Omni/Sigma, or similar
• Ability to be a self-starter for solving problems in a dynamic environment
• Ability to clearly communicate and collaborate with cross-functional teams
• Experience with maintaining peer-reviewed code and continuous integration and deployment workflows and tooling like GitLab CI and Docker or similar
• Experience with cloud architectures and services, such as Google Cloud Platform (preferred) or AWS
• Experience working with geospatial datasets and event-based data architectures

What Makes You Stand Out:

• Experience with messaging services (Pub/Sub, RabbitMQ, etc) and real-time streaming
• Experience with monitoring and observability tools like Datadog, Grafana, or equivalent
• Knowledge of earth observation and/or satellite operation concepts

Application Deadline:

October 8, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to U.S. and German/EU export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by German, EU, or U.S. authorities.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off
• Employee Wellness Program
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Volunteering Paid Time Off

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 [e-mail] or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

AI in Our Interviewing Process

Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.

Candidate AI Policy

Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact [e-mail] with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.