At a Glance
- Tasks: Transform satellite data into impactful insights and build scalable data systems.
- Company: Join Open Cosmos, a mission-driven company making space accessible for real-world solutions.
- Benefits: Work in a diverse team with global customers and cutting-edge technology.
- Other info: Flexible locations across Europe with excellent career growth opportunities.
- Why this job: Make a difference by turning raw data into actionable insights that drive change.
- Qualifications: Strong Python skills, experience with data pipelines, and knowledge of Earth Observation concepts.
The predicted salary is between 45000 - 60000 £ per year.
Aim high, go beyond! At Open Cosmos we are solving the world’s biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on…
Working in our Data Division, our Data division transforms satellite data into meaningful insights that drive real-world impact. The team delivers all data products generated by Open Cosmos and its partners, curates and develops DataCosmos — our geospatial data platform — and builds integrations that make satellite imagery easy to access and act on. Their work helps organisations turn data into action and create positive change on Earth.
As a Data Engineer, you’ll be at the core of how we turn raw Earth Observation data into scalable, reliable and high-quality data products. You’ll design and build the pipelines and systems that power our data platform, ensuring customers across the world can access and act on satellite data with confidence.
What will you be doing?
- Developing and maintaining data ingestion and processing pipelines for satellite and Earth Observation data
- Designing and implementing scalable, reliable processing systems to support payload data processing and quality control
- Establishing and enforcing data and metadata standards to ensure consistency, usability and quality across datasets
- Balancing customer needs with technical architecture, delivering solutions aligned with platform and operational constraints
- Proposing and implementing improvements to data architecture, scalability and performance
- Integrating new data processing techniques and data types into existing workflows
- Translating scientific or analytical code into efficient, production-ready implementations
- Maintaining and evolving complex data processing systems with monitoring, reliability and continuous improvement in mind
- Supporting EO data quality and performance through validation, control and optimisation mechanisms
What You’ll bring
- Strong Python capability for building data processing pipelines
- Confidence working in Linux environments to run and maintain workflows
- Solid understanding of data ingestion, transformation and processing pipelines
- Ability to design and manage data structures, formats and metadata standards
- Capability to work with APIs and databases (particularly REST interfaces and PostgreSQL)
- Understanding of data-driven and event-driven architectures
- Knowledge of satellite imagery and Earth Observation data processing concepts
- Familiarity with geospatial tools such as QGIS, ArcGIS or similar
- Awareness of containerised and orchestrated environments (e.g. Kubernetes)
- Ability to translate analytical or scientific code into efficient, production-ready systems
This role can be based in Oxford (UK), Barcelona (Spain), Tenerife, Porto (Portugal) or Athens (Greece). To apply, you must have the legal right to work in your chosen location. When applying, please submit your CV in English.
Why Open Cosmos?
- Work at the cutting edge of space technology with customers around the globe.
- A mission-driven company making space accessible to help solve real-world challenges.
- A diverse, ambitious, and supportive team.
Data Software Engineer employer: Open Cosmos Ltd.
Open Cosmos is an exceptional employer, offering a unique opportunity to work at the forefront of space technology while contributing to meaningful solutions for global challenges. With a diverse and ambitious team, employees benefit from a supportive work culture that fosters innovation and collaboration, alongside opportunities for professional growth in various vibrant locations such as Oxford, Barcelona, and Porto. Join us to make a real impact on Earth through cutting-edge data engineering in a mission-driven environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Software Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Open Cosmos Ltd.!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Open Cosmos Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Data Software Engineer at Open Cosmos Ltd., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Software Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Open Cosmos Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Open Cosmos Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Open Cosmos Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Open Cosmos Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.