# Space Situational Awareness Engineer at Okapiorbits

> Spain · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/personio%3Aokapiorbits%3A2670444 (read 2026-11-10).

## Facts (observed)

- Company: [Okapiorbits](https://alderhq.app/companies/okapiorbits)
- Location text: Barcelona (Spain); Madrid (Spain)
- Where it can be done from (inferred): Spain (evidence: "Location: Barcelona (Spain); Madrid (Spain)")
- Posted: 2026-06-12 (151 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://okapiorbits.jobs.personio.de/job/2670444
- Skills listed (inferred): Python, Java

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Barcelona, n 5): p25 €43k, median €61k, p75 €62k

## Description (the employer's text)

### Your mission

We would like to share with you that research shows that women are less likely to apply for a position unless they meet 100% of the listed requirements.

Please know that if it’s your case - but you are passionate about space technology, building reliable software, and contributing to a more sustainable space environment - we strongly encourage you to apply.

OKAPI:Orbits already brings together a highly diverse team, and we actively continue to strengthen this diversity which allows us to achieve higher performance and drive innovation.

### Your tasks and responsibilities

- You will collaborate with a multidisciplinary team of aerospace engineers, data scientists, and software developers to integrate and optimize third-party sensor data sources within our SSA platform. Your contributions will directly enhance the accuracy, automation, and scalability of our orbital risk management solutions.
- Integrate third-party data sources into our platform, working closely with providers to seamlessly onboard their data.
- Develop, implement, and optimize high-precision algorithms for orbit propagation, orbit determination (OD), sensor fusion, covariance modelling, and uncertainty quantification.
- Develop methods to fuse data from diverse sources into one common image of the space debris environment.
- Conduct validation and verification (V&V) campaigns to benchmark and refine algorithmic performance against ground truth datasets.
- Work closely with software engineers to transition prototype algorithms into scalable, production-ready solutions.
### Your profile

- M.Sc. or higher in Aerospace Engineering, Space Engineering, Applied Mathematics, Applied Physics, or a closely related field, or have prior work experience in the field of SSA/SST and related.
- A minimum of 5 years of relevant work experience is required. However, candidates with outstanding profiles may be considered with at least 3 years of experience.
- Strong theoretical and practical knowledge of astrodynamics, orbital mechanics, and flight dynamics.
- Experience in scientific programming using at least one of the following languages: Java, Fortran (90+) or Python.
- Ability to work in a fast-paced, collaborative, and research-driven environment.
- Valid working permit for Spain/EU.
- Hands-on experience with space surveillance and tracking (SST) systems, including sensor tasking and catalog maintenance.
- Experience working with space agencies or private space companies in the SSA/SST field.
- Familiarity with space surveillance and tracking systems.
- Understanding of space policy and compliance frameworks.
- Experience with AI/ML applications for anomaly detection, pattern recognition, or orbit prediction in SSA applications.
- Interest in contributing to the sustainability of space and long-term spaceflight operations.
### Why us?

- With a lean hierarchy and small working groups, you define your own way of work including flexible work hours.
- Work on groundbreaking space sustainability challenges with a team of top-tier engineers and scientists.
- After your on-boarding time in Braunschweig, you can choose between staying in our office (what we prefer), working from Spain (Madrid/Barcelona)
- Enjoy technical freedom. Influence system architecture, research methodologies, and data integration approaches.
- Grow continuously with access to training budgets, industry conferences, and networking opportunities.
- Be part of a strong engineering culture, with regular knowledge-sharing sessions, technical deep dives, and innovation sprints.
- Great team spirit, with company-wide events and social activities like laser tag, dinners, and team-building outings.
From Application to Offer: Our Hiring Process

- You send us your application
- We review your profile and get back to you with a short questionnaire
- A first interview with our HR team
- A second interview with a member of the team you would join
- A final interview with the department lead

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Aokapiorbits%3A2670444 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.