At a Glance
- Tasks: Develop and maintain data systems for Earth Observation data, including satellite imagery and remote sensing.
- Company: Join a forward-thinking team in the heart of London focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and problem-solving.
- Why this job: Make a real impact by analysing Earth data and contributing to environmental insights.
- Qualifications: Bachelor’s degree in a relevant field and 3 years of experience in data systems.
The predicted salary is between 50000 - 60000 £ per year.
We are looking for an experienced Earth Observation Data Engineer to join our team. The successful candidate will be responsible for developing and maintaining data systems and applications related to Earth Observation (EO) data. The role will involve working with a variety of data sources, including satellite imagery, aerial photography, and other remote sensing data. The successful candidate will be expected to have a strong understanding of EO data and its applications, as well as experience in developing and maintaining data systems and applications.
Responsibilities
- Develop and maintain data systems and applications related to Earth Observation data.
- Work with a variety of data sources, including satellite imagery, aerial photography, and other remote sensing data.
- Analyse and interpret EO data to identify trends and patterns.
- Develop algorithms and software to process and analyse EO data.
- Develop visualisations and reports to present EO data.
- Collaborate with other teams to ensure data accuracy and integrity.
- Monitor and maintain data systems and applications.
- Troubleshoot and resolve data system and application issues.
- Provide technical support and advice to other teams.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 3 years of experience in developing and maintaining data systems and applications.
- Strong understanding of Earth Observation data and its applications.
- Experience in developing algorithms and software to process and analyse EO data.
- Excellent problem‑solving and troubleshooting skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
Earth Observation Data Engineer employer: Internwise
Join a forward-thinking company in London that values innovation and collaboration, making it an excellent employer for Earth Observation Data Engineers. With a competitive salary, a supportive work culture, and ample opportunities for professional growth, you will be part of a team dedicated to harnessing the power of EO data to drive meaningful change. Enjoy the unique advantage of working in a vibrant city known for its commitment to sustainability and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Earth Observation Data Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the Earth Observation field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to EO data. Whether it’s visualisations, algorithms, or applications, having tangible examples can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common EO data challenges and solutions. Be ready to discuss how you’ve tackled similar issues in the past – it shows you’re not just book-smart but also practical!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Earth Observation Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Earth Observation data and relevant technologies. We want to see how your skills match the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about Earth Observation and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:Since this role involves developing algorithms and software, make sure to mention any specific programming languages or tools you’re proficient in. We love seeing concrete examples of your work, so feel free to include links to projects or portfolios!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Internwise
✨Know Your EO Data
Make sure you brush up on your Earth Observation data knowledge. Familiarise yourself with different types of data sources like satellite imagery and aerial photography. Being able to discuss specific examples of how you've worked with these data types will show your expertise.
✨Showcase Your Technical Skills
Prepare to talk about the algorithms and software you've developed for processing EO data. Bring along examples or even a portfolio if possible. This will help demonstrate your hands-on experience and problem-solving abilities in real-world scenarios.
✨Collaboration is Key
Since the role involves working with other teams, be ready to discuss your experience in collaborative projects. Share examples of how you've ensured data accuracy and integrity while working with others, as this will highlight your interpersonal skills.
✨Prepare for Troubleshooting Questions
Expect questions about troubleshooting and resolving data system issues. Think of specific challenges you've faced in the past and how you overcame them. This will showcase your critical thinking and problem-solving skills, which are essential for the role.
