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Senior Data Engineer, Constellation Services

Planet
Berlin, Germany
Full Time
Posted October 20, 2025
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Job Description

A Senior Data Engineer at Planet is responsible for designing, building, and maintaining enterprise ETL pipelines and data tooling using cloud technologies, collaborating with cross-functional teams to deliver insights and support the company's satellite data products and services.

Key Responsibilities

  • Design, build, and maintain enterprise ETL pipelines and self-service data tools using cloud technologies
  • Collaborate with cross-functional stakeholders to understand data needs and deliver solutions
  • Develop end-to-end data architecture, including implementation, CI/CD, orchestration, QA, and visualization
  • Support monitoring and analysis of Planet's Missions and Constellation Services products
  • Ensure data accuracy and reliability in data pipelines
  • Provide insights and visualizations to facilitate decision-making and product evaluation
  • Mentor team members through technical design reviews and code reviews
  • Maintain and troubleshoot existing data pipelines and tooling

Requirements

  • Six (6) years of relevant experience and a Bachelor's degree in a relevant field.
  • Experience designing and implementing data architecture for data solutions end to end, from ingestion through insight, with an emphasis on data accuracy.
  • Expertise in Python and SQL for building and maintaining data pipelines.
  • Experience with ETL pipeline buildout.
  • Experience with the modern data stack, including tools such as 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 implementing continuous integration and deployment workflows using tools like GitLab CI and Docker or similar.
  • Experience with cloud architectures and services, preferably Google Cloud Platform or AWS.
  • Experience working with geospatial datasets and event-based data architectures.

Benefits & Perks

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

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