Data Engineer
Luxembourg, Luxembourg, Luxembourg
Hydrosat
Hydrosat provides daily, high-resolution thermal and multispectral infrared imagery of the entire Earth. Leveraging our first-in-history thermal capabilities, we also provide analytics solutions to solve climate and agriculture issues.Hydrosat is a data analytics and satellite Earth observation company leveraging thermal infrared and multi-spectral data to deliver insights into crop health, drought and wildfire risk, industrial activity, and defense situational awareness to government and commercial customers. Our data analytics team in Luxembourg applies proprietary algorithms to thermal imagery and combines this with data fusion capabilities to extract valuable insights.
We are seeking an experienced engineer with data and DevOps skills to support our team in Luxembourg in the development of our data analytics platform and commercial products. This role will appeal to candidates that are looking to use their engineering skills to make an impact on the world in agriculture, climate, and public safety monitoring applications.
What you’ll do
- Design, provision and maintain infrastructure for highly scalable (petabytes) data processing
- Design and implement data processing and machine learning pipelines
- Create multi-environment CI/CD pipelines for testing and deploying code
- Work with scientists to scale and deploy state of the art geospatial algorithms
- Work with modern data engineering stack including Kubernetes, CDK, AWS
Requirements
- 5+ years of combined experience in data engineering and DevOps roles
- Experience with setting up and maintaining cloud infrastructure
- Experience with implementing and maintaining data pipelines
- Experience with software development life cycle: design, development, test, deployment, operations
- Experience building and operating CI/CD pipelines
- Working knowledge of Python
- Working knowledge of some infrastructure-as-code framework
- Highly self-motivated, keen learner able to solve challenging problems with creative solutions
- Strong team player with demonstrated ability to take ownership and drive execution
Desired Qualifications
- Proficiency in Python and Python data stack
- Expertise with AWS cloud provider
- Experience with provisioning and maintaining Kubernetes clusters
Benefits
- Competitive salary
- Employee equity
- Flexible and dynamic startup environment
- Professional development opportunities
- Access to great facilities at the Luxembourg House of Startups building
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS CI/CD Data Analytics Data pipelines DevOps Engineering Industrial Kubernetes Machine Learning Pipelines Python SDLC Testing
Perks/benefits: Career development Competitive pay Equity Flex hours Health care Startup environment
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