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.
Please note that in future, you may be required to complete a Basic Disclosure check (
Key Responsibilities:
1. ArcGIS platform administration – Support administration of ArcGIS Online (AGOL) and ArcGIS Pro: configure users, groups, permissions, content lifecycles, sharing, and security.
2. 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.
3. 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.
4. 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.
5. User experience (UX) for maps/dashboards – Create clear symbology, filters, accessibility basics (colour/contrast) for web layers, web maps & web apps.
6. 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.
7. Agile and Waterfall delivery – Work in sprints (backlog, estimates, reviews) or stage-gated phases (requirements to release); keep documentation and acceptance criteria current.
8. 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.
9. Data governance, licensing, and security – Follow naming/metadata/lineage standards.
10. 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.
11. 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.
12. Continuous Improvement – Proactively improving how we build and run our geospatial analytical & visualisation services.
Skills required:
13. Relevant degree or equivalent work experience
14. Significant domain practice of forestry, environmental engineering, or maritime, applying ArcGIS and Python to real problems.
15. ArcGIS suite delivery – ArcGIS Online (AGOL), ArcGIS Pro, Dashboards, Experience Builder in production contexts.
16. Python for geospatial & imagery – ArcPy, rasterio, geopandas; Machine Learning (ML) exposure (scikit-learn, PyTorch or TensorFlow).
17. DevOps on cloud – Continuous Integration/Continuous Delivery (CI/CD), Infrastructure as Code (IaC), Git, Docker; Amazon Web Services (AWS) deployments.
18. Process fluency – Evidence of working in both Agile and Waterfall; writes acceptance criteria, design notes, and runbooks
19. Extreme attention to detail while balancing speed with rigour
20. Strong communication and interpersonal abilities — capable of bridging technical and programmatic discussions.
21. Demonstrates sound judgement and resilience in dynamic, time-constrained environments.
22. Maintain accountability for your work while contributing to a supportive and inclusive team culture.
23. Coaches’ others; gives and receives constructive feedback; uplifts team standards.
24. 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.
25. Ability to write clear technical reports and procedures.
26. Competent IT skills including Microsoft software.
27. Proficient in English, both verbally and written.
Skills desired:
28. PostgreSQL/PostGIS data modelling and tuning for reliable, performant queries feeding dashboards and APIs.
29. ArcGIS Velocity / ArcGIS Image / ArcGIS Enterprise exposure for streaming, imagery at scale, and on-prem/enterprise interoperability.
30. Additional AWS services – Amazon Athena, AWS Step Functions, Amazon Elastic Container Service (ECS) or Kubernetes for scalable orchestration.
31. Synthetic Aperture Radar (SAR) and Automatic Identification System (AIS) Basic pre-processing/handling to strengthen maritime and forestry analytics
32. Previous experience of working with small/medium sized company
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:
33. – delivering data from space directly to customers
34. – a full range of off-the-shelf and tailor-made subsystems, components, and sensors
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.
Some of our clients include Horizon Technologies, Orbcomm, OHB Sweden, Intuitive Machines, Orbital Micro Systems, the United States Airforce Academy, UK Space Agency, European Space Agency and NASA.
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, please