Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data pipelines for high-volume geospatial datasets.
- Company: Join a forward-thinking company at the forefront of geospatial technology.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for growth.
- Why this job: Make an impact by supporting innovative digitization and automation projects.
- Qualifications: Experience in data engineering and a passion for geospatial technologies.
- Other info: Collaborative team environment with a focus on professional development.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Geospatial Data Pipeline Engineer to design, build, and operate scalable, secure, and auditable data pipelines for high-volume geospatial and spatial attribute datasets. This role focuses on end-to-end pipeline engineering—from data ingestion and transformation to validation, orchestration, and delivery—supporting complex digitization, automation, and data modernization programmes. The role works closely with FME Analysts, QA teams, Automation Engineers, and Programme Managers to ensure reliable, high-quality data delivery at scale.
Key Responsibilities
- Data Pipeline Design
Geospatial Data Pipeline Engineer employer: RMSI
Contact Detail:
RMSI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Pipeline Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the geospatial field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with data pipelines and geospatial datasets. We recommend including projects that demonstrate your ability to design and operate scalable solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. We suggest practising common questions related to data ingestion, transformation, and validation. Being well-prepared will help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Geospatial Data Pipeline Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data pipeline engineering and geospatial datasets. We want to see how your skills align with the role, 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 geospatial data and how your background makes you a perfect fit for our team. Keep it engaging and personal—let us get to know you!
Showcase Your Technical Skills: In your application, be sure to mention any specific tools or technologies you’ve worked with that relate to data ingestion, transformation, and delivery. We love seeing candidates who are familiar with the latest trends in data engineering!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at RMSI
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipeline design and engineering. Be ready to discuss your experience with data ingestion, transformation, and delivery. Highlight any specific tools or technologies you've used, especially those relevant to geospatial data.
✨Collaborate Like a Pro
Since this role involves working closely with FME Analysts, QA teams, and Automation Engineers, be prepared to talk about your collaborative experiences. Share examples of how you've successfully worked in cross-functional teams to deliver high-quality data solutions.
✨Showcase Your Problem-Solving Skills
Expect questions that assess your ability to troubleshoot and resolve issues within data pipelines. Prepare to share specific challenges you've faced in past projects and how you overcame them, particularly in the context of high-volume datasets.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data modernization programmes or the tools they use for pipeline orchestration. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
