Data Software Engineer

• Developing and maintaining data ingestion and processing pipelines for satellite and Earth Observation data

• Translating scientific or analytical code into efficient, production-ready implementations

• Applying software best practices regarding testing, and control mechanisms to ensure software quality

• Designing and implementing scalable, reliable processing systems to support payload data processing and quality control

• Establishing and enforcing data and metadata standards to ensure consistency, usability and quality across datasets

• Balancing customer needs with technical architecture, delivering solutions aligned with platform and operational constraints

• Proposing and implementing improvements to data architecture, scalability and performance

• Integrating new data processing techniques and data types into existing workflows

• Maintaining and evolving complex data processing systems with monitoring, reliability and continuous improvement in mind

• Supporting EO data quality and performance through validation, control and optimisation mechanisms

Aim high, go beyond!

At Open Cosmos we are solving the world's biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on...

Our Data division transforms satellite data into meaningful insights that drive real-world impact. The team delivers all data products generated by Open Cosmos and its partners, curates and develops DataCosmos - our geospatial data platform - and builds integrations that make satellite imagery easy to access and act on. Their work helps organisations turn data into action and create positive change on Earth.

As a Data Software Engineer, you'll be at the core of how we turn raw Earth Observation data into scalable, reliable and high-quality data products. You'll design and build the pipelines and systems that power our data platform, ensuring customers across the world can access and act on satellite data with confidence.

This role can be based in any location.

When applying, please submit your CV in English.

• Strong Python capability for building data processing pipelines

• Confidence working in Linux environments to run and maintain workflows

• Solid understanding of data ingestion, transformation and processing pipelines

• Ability to design and manage data structures, formats and metadata standards

• Capability to work with APIs and databases (particularly REST interfaces and PostgreSQL)

• Understanding of data-driven and event-driven architectures

• Knowledge of satellite imagery and Earth Observation data processing concepts

• Familiarity with geospatial tools such as QGIS, ArcGIS or similar

• Awareness of containerised and orchestrated environments (e.g. Kubernetes)

• Ability to translate analytical or scientific code into efficient, production-ready systems