Senior Data Engineer, Constellation Services

planetlabs · Berlinsenior

En corto

▸Ingeniero de datos senior que construye y mantiene pipelines ETL a gran escala para productos de constelación satelital.
▸Trabaja con equipos de producto, ingeniería y comerciales para entregar herramientas de datos autónomas y visualizaciones clave.
▸Destacado: Impacto directo en productos de defensa e inteligencia mediante datos satelitales en tiempo real.

Ability to clearly communicate and collaborate with cross-functional teams

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¿Qué piden?

✓6+ años de experiencia relevante
✓Título universitario en campo relacionado
✓Experiencia en arquitectura de datos desde la ingesta hasta el insight
✓Experto en Python y SQL para pipelines ETL
✓Experiencia con la pila moderna de datos: Fivetran, dbt, Looker/Omni/Sigma
✓Capacidad para liderar soluciones en entornos dinámicos y comunicar con equipos multifuncionales

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PythonSQLFivetrandbtLookerOmniSigmaCI/CDOrquestación de pipelinesVisualización de datos

¿A quién escribirle en planetlabs?

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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, 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</

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