At a Glance
- Tasks: Design and improve geospatial data products using ArcGIS and satellite imagery.
- Company: Join AAC Clyde Space, a leader in small satellite technology.
- Benefits: Hybrid working, competitive salary, and opportunities for travel.
- Why this job: Make a real impact with cutting-edge tech in a fast-growing space industry.
- Qualifications: Experience in geospatial data, Python, and Agile development.
- Other info: Dynamic team culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
About this role: We are looking for a Geospatial Data Engineer to join our team. We are growing our Data and Services business, creating insights from satellites developed and operated in-house. You will design, operate, and improve our ArcGIS platform and data products that power apps, dashboards, and decision-ready analytics across our maritime and forestry programs. This role blends hands-on development in ArcGIS Online (AGOL) and ArcGIS Pro with Remote Sensing, Machine Learning (ML) on satellite imagery, and modern DevOps (Continuous Integration/Continuous Delivery (CI/CD) and Infrastructure as Code (IaC)) to deliver reliable, secure, and cost-effective services on ArcGIS Online (AGOL) and Amazon Web Services (AWS). This opportunity is ideal for someone with a passion for product quality and innovation, who has experience of working with Earth Observation and geospatial data. You should be comfortable working in an Agile development environment. The position offers the opportunity to share your expertise in a fast-growing space technology company that is bringing new data and insights to address challenges in business and government. The role is based in either Glasgow or London where Hybrid Working is available. The nature of the role will require essential, regular business travel (both local and global) plus the occasional ‘out of hours’ work that may be required to support customer and business activities.
Key Responsibilities:
- ArcGIS platform administration – Support administration of ArcGIS Online (AGOL) and ArcGIS Pro: configure users, groups, permissions, content lifecycles, sharing, and security.
- Applications and dashboards – Build and maintain web apps (Experience Builder/Instant Apps) and ArcGIS Dashboards to present Automatic Identification System (AIS) and Earth Observation (EO) insights.
- Remote sensing and image analysis – Use ArcGIS Pro and Python (e.g., ArcPy, rasterio, geopandas) with Machine Learning for pre-processing, feature extraction, classification/segmentation, and accuracy checks.
- Data engineering and pipelines (AWS + Python) – Build Extract-Transform-Load (ETL) pipelines for AIS/imagery using S3 and scheduled processing (Lambda/Batch); validate, add metadata, and publish to AGOL/feature services with versioned schemas.
- User experience (UX) for maps/dashboards – Create clear symbology, filters, accessibility basics (colour/contrast) for web layers, web maps & web apps.
- DevOps ways of working – Implement Continuous Integration/Continuous Delivery (CI/CD), containerize with Docker, and use Infrastructure as Code (IaC) (Terraform/CloudFormation) with sensible logging, metrics, and alerts.
- Agile and Waterfall delivery – Work in sprints (backlog, estimates, reviews) or stage-gated phases (requirements to release); keep documentation and acceptance criteria current.
- Domain-driven analysis (forestry/environmental engineering or maritime) – Apply domain experience to frame problems, choose appropriate analytical & development methods, validate outputs, and explain results plainly.
- Data governance, licensing, and security – Follow naming/metadata/lineage standards.
- Stakeholder engagement and enablement – Work with the Team Leader, analysts, and partners to refine needs, demo progress, capture feedback, and produce concise runbooks/how-tos.
- Cost, performance, and reliability management – Track AWS/Esri usage and spend; optimise storage/compute/sharing; meet service targets and resolve incidents with root-cause actions to keep services sustainable.
- Continuous Improvement – Proactively improving how we build and run our geospatial analytical & visualisation services.
Skills required:
- Significant domain practice of forestry, environmental engineering, or maritime, applying ArcGIS and Python to real problems.
- Python for geospatial & imagery – ArcPy, rasterio, geopandas; Machine Learning (ML) exposure (scikit-learn, PyTorch or TensorFlow).
- DevOps on cloud – Continuous Integration/Continuous Delivery (CI/CD), Infrastructure as Code (IaC), Git, Docker; Amazon Web Services (AWS) deployments.
- Process fluency – Evidence of working in both Agile and Waterfall; writes acceptance criteria, design notes, and runbooks.
- Extreme attention to detail while balancing speed with rigour.
- Strong communication and interpersonal abilities — capable of bridging technical and programmatic discussions.
- Demonstrates sound judgement and resilience in dynamic, time-constrained environments.
- Maintain accountability for your work while contributing to a supportive and inclusive team culture.
- Coaches’ others; gives and receives constructive feedback; uplifts team standards.
- Proactive, adaptable, and committed to continuous improvement and learning.
- Excellent organisation and prioritisation; comfortable with multiple concurrent workstreams/multiple projects in a dynamic environment and tight deadlines.
- Ability to write clear technical reports and procedures.
- Competent IT skills including Microsoft software.
- Proficient in English, both verbally and written.
- PostgreSQL/PostGIS data modelling and tuning for reliable, performant queries feeding dashboards and APIs.
- ArcGIS Velocity / ArcGIS Image / ArcGIS Enterprise exposure for streaming, imagery at scale, and on-prem/enterprise interoperability.
- Additional AWS services – Amazon Athena, AWS Step Functions, Amazon Elastic Container Service (ECS) or Kubernetes for scalable orchestration.
- Synthetic Aperture Radar (SAR) and Automatic Identification System (AIS) Basic pre-processing/handling to strengthen maritime and forestry analytics.
ABOUT AAC Clyde Space: AAC Clyde Space, a leading New Space company, specialises in small satellite technologies and services that enable businesses, governments, and educational organisations to access high-quality, timely data from space. This data has a vast range of applications, from weather forecasting to precision farming to environmental monitoring, and is essential to improving our quality of life on Earth. Our growing capabilities bring together three divisions: Space missions – turnkey solutions that empower customers to streamline their space missions. AAC Clyde Space aims to become a world leader in commercial small satellites and services from space, applying advances in its technology to tackle global challenges and improve our life on Earth. AAC Clyde Space Group consists of the parent company AAC Clyde Space AB (publ) and subsidiaries in Sweden, the UK, the Netherlands, South Africa and the USA. Our main operations are in these five countries, with partner networks in Japan and South Korea. AAC Clyde Space’s share is traded on the Nasdaq First North Premier Growth Market.
Data Protection Policy: As part of our recruitment process, we collect and process personal data relating to job applicants. We are committed to being transparent about how we collect and use this data.
Right to Work: AAC Clyde Space has a legal responsibility to ensure that all its employees have the legal right to live and work in the EU or the country in which they plan to work. Therefore, if you are made an offer of employment, this will be subject to AAC Clyde Space verifying that you are eligible to work in that country before you start work.
Equality, Diversity and Inclusion: We aim to create a positive recruitment and selection experience across every part of our business. The company is committed to handling applications to a consistently high standard and all candidates with dignity and respect. Those involved in the recruitment and selection process will act with integrity, objectivity and professionalism. We are committed to equal opportunities for all and to have diversity reflected within our global workforce. We believe its diversity and inclusion will allow for greater creativity and innovation to help AAC Clyde Space Group deliver the vision to help improve life on earth.
Openness to Flexible Working: We recognise work-life balance is important so we are open to discussions around flexible working, depending on the nature of the role and business needs. If you would like to know more, please ask the Hiring Manager during any recruitment process that you may be involved in.
Geospatial Data Engineer – Glasgow or London employer: Clyde Space Limited
Contact Detail:
Clyde Space Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Engineer – Glasgow or London
✨Tip Number 1
Network like a pro! Reach out to folks in the geospatial field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ArcGIS projects, remote sensing analyses, or any cool machine learning applications you've worked on. Visuals speak louder than words!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to geospatial data engineering. Practice explaining your past projects and how you tackled challenges—confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Geospatial Data Engineer – Glasgow or London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Geospatial Data Engineer role. Highlight your experience with ArcGIS, Python, and any relevant projects that showcase your skills in geospatial data and remote sensing.
Showcase Your Passion: Let us see your enthusiasm for the field! Share any personal projects or experiences that demonstrate your love for geospatial data and how it can solve real-world problems, especially in maritime and forestry.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We want to understand your skills and experiences without getting lost in technical terms.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Clyde Space Limited
✨Know Your ArcGIS Inside Out
Make sure you’re well-versed in ArcGIS Online and ArcGIS Pro. Brush up on your skills with Python, especially ArcPy, rasterio, and geopandas. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience.
✨Showcase Your DevOps Knowledge
Familiarise yourself with Continuous Integration/Continuous Delivery (CI/CD) practices and Infrastructure as Code (IaC). Be prepared to explain how you've implemented these in previous roles, particularly with AWS. This will demonstrate your ability to deliver reliable and secure services.
✨Communicate Clearly and Effectively
Since the role involves stakeholder engagement, practice articulating complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical team members or clients in the past.
✨Emphasise Your Problem-Solving Skills
Think of specific challenges you've faced in geospatial data engineering and how you overcame them. Highlight your analytical skills and your ability to adapt in dynamic environments, as this is crucial for the role.