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For Companies At a Glance
- Tasks: Design and maintain pipelines for large-scale geospatial data analysis.
- Company: Join ISR, a leader in digital transformation and innovative geospatial solutions.
- Benefits: Enjoy remote work flexibility and competitive market rates.
- Why this job: Be part of a high-profile project that shapes the future of geospatial technology.
- Qualifications: Strong Python skills and experience with cloud platforms and spatial databases required.
- Other info: This is a 6-month contract role, outside IR35.
The predicted salary is between 42000 - 84000 £ per year.
6 month contract (initially)
Remote-Working
Outside IR35
Market Rates
The Opportunity:
ISR are proud to be supporting a high-profile digital transformation programme and we’re looking for an experienced Geospatial Data Engineer to join the team on a contract basis. In this role, you will work at the intersection of geospatial data and cloud engineering – designing, building and maintaining robust pipelines that enable the transformation and analysis of large-scale geospatial datasets.
Skills and Experience:
- Strong programming skills in Python, with experience using libraries such as GeoPandas, Shapely and GDAL
- Experience with cloud platforms (AWS, Azure or GCP) and infrastructure-as-code tools
- Proficiency in spatial databases (e.g., PostGIS) and data pipeline tools (e.g., Airflow)
- Familiarity with geospatial APIs, formats (GeoJSON, WKT) and data services
Security Clearance:
Candidates must be eligible to pass Baseline Personnel Security Standard (BPSS) checks.
Please call Edward Laing here at ISR Recruitment on 07436 071 872 to learn more about our client and how they are leading the way in developing the next-generation of geospatial technical solutions through innovation and transformational technology.
Geospatial Engineer employer: ISR Recruitment
Contact Detail:
ISR Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in geospatial technology and cloud engineering. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the geospatial field, especially those who have experience with the specific tools mentioned in the job description. Platforms like LinkedIn can be great for connecting with industry experts and learning from their experiences.
✨Tip Number 3
Consider contributing to open-source projects related to geospatial data engineering. This not only enhances your skills but also showcases your commitment and expertise to potential employers.
✨Tip Number 4
Prepare to discuss your previous projects involving Python and geospatial libraries in detail. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will demonstrate your problem-solving abilities.
We think you need these skills to ace Geospatial Engineer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific skills and experience required for the Geospatial Engineer position. Highlight your relevant experience in geospatial data, cloud engineering, and programming.
Tailor Your CV: Customise your CV to reflect the skills mentioned in the job description. Emphasise your programming skills in Python and experience with libraries like GeoPandas and Shapely, as well as your familiarity with cloud platforms and spatial databases.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Discuss your experience with geospatial data pipelines and any relevant projects you've worked on. Make sure to express your enthusiasm for the opportunity to contribute to the digital transformation programme.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at ISR Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and your experience with libraries like GeoPandas, Shapely, and GDAL. Consider bringing examples of past projects where you successfully implemented these technologies.
✨Demonstrate Cloud Knowledge
Since the role involves cloud engineering, make sure to highlight your experience with platforms like AWS, Azure, or GCP. Be ready to explain how you've used infrastructure-as-code tools in previous roles.
✨Familiarity with Spatial Databases
Discuss your proficiency with spatial databases such as PostGIS and data pipeline tools like Airflow. Prepare to talk about how you've designed and maintained data pipelines in your past work.
✨Understand Geospatial APIs and Formats
Brush up on your knowledge of geospatial APIs and formats like GeoJSON and WKT. Being able to articulate how you've worked with these in the past will demonstrate your expertise in the field.
