8 часов назад
Senior Data Engineer (Constellation Services)
77 000 - 96 300€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer, Constellation Services (Python/SQL/Cloud Data): Build and evolve enterprise ETL pipelines, self-service data tooling, and monitoring solutions for satellite constellation products with an accent on end-to-end data architecture, geospatial datasets, and data accuracy. Focus on designing scalable pipelines, orchestrating CI/CD workflows, delivering visualizations for decision-making, and solving complex data challenges across space, engineering, product, and commercial teams.
Location: Berlin, Germany; hybrid work with three days per week in the Berlin office
Salary: €77,000–€96,300 gross per year in Germany
Company
designs, builds, and operates a large constellation of imaging satellites and delivers satellite data through a cloud-based platform for commercial, environmental, humanitarian, defense, and intelligence applications.
What you will do
- Design, build, own, maintain, troubleshoot, and improve enterprise ETL pipelines.
- Develop self-service data tooling, visualizations, and insights for monitoring and evaluating Constellation Services products.
- Build end-to-end data solutions covering architecture, ingestion, implementation, CI/CD, orchestration, QA, visualization, and communication.
- Collaborate with Product, Engineering, Space Systems, Commercial, and other cross-functional stakeholders to define the CxS data roadmap.
- Provide mentorship, technical design feedback, and code reviews across the organization.
Requirements
- 6+ years of relevant experience and a bachelor's degree in a relevant field.
- Strong experience designing and implementing end-to-end data architectures and accurate data solutions.
- Expertise building ETL pipelines with Python and SQL.
- Experience with modern data stack tools such as Fivetran, dbt, and Looker, Omni, Sigma, or similar.
- Experience with peer-reviewed code, CI/CD workflows, GitLab CI, Docker, and cloud architectures such as Google Cloud Platform or AWS.
- Experience with geospatial datasets, event-based data architectures, and cross-functional collaboration.
Nice to have
- Experience with Pub/Sub, RabbitMQ, or similar messaging services and real-time streaming.
- Experience with Datadog, Grafana, or equivalent monitoring and observability tools.
- Knowledge of Earth observation and satellite operations.
Culture & Benefits
- People-centric culture focused on belonging, inclusion, and collaboration.
- Paid vacation, holidays, and company-wide days off.
- Employee wellness program, home office reimbursement, and monthly phone and internet reimbursement.
- Tuition reimbursement and access to LinkedIn Learning.
- Equity and paid volunteering time off.
Hiring process
- Select interviews may be recorded with candidate consent for transcription and summarization.
- AI tools are prohibited during live interviews and assessments unless explicitly permitted or required as an accommodation.
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