Earth observation infrastructure is developing rapidly these years, with increasingly more satellites being send into space, some of these in large swarms of entire microsatellite constellations. Consequently, satellite remote sensing is not limited by a lack of data, but rather our capacity to make best use of all the data we have available already. The key is to build autonomous and intelligent systems on top of satellite imagery data streams, with a view to detect, analyse and process images faster and more accurately than ever before.

Imagine the powerful combination of a living digital library that documents every inch of our planet on a daily basis, and the tools and platforms allowing us to extract meaningful insight from this library at scale. We increasingly apply deep learning-based approaches to serve this purpose, allowing us to build effective and scalable solutions that serves unique insight about the change and dynamics on our planet. We use deep learning to underpin the information needs and requirements within many different sectors, including:

• Maritime industry for detection of reefs, hazardous objects, submerged aquatic vegetation, ships and illegal vessels, icebergs and dynamics in ports and harbours.
• Construction industry and urban spatial planning for detection of roads, impervious surfaces, roof top types, cars, parking spaces, solar energy potential and general activity within construction zones.
• Wind energy for monitoring metocean conditions around offshore wind energy sites, mapping wind breaks in open landscapes and estimating surface roughness conditions (including forest height and density)

For more information about the power of deep learning and how we apply it in DHI GRAS, explore the links below

Are you passionate about developing software to make data flow efficiently and reliably using newest technologies? Do you want to join us turning terabytes of satellite imagery into information through advanced and performance-optimized algorithms - daily?

At DHI GRAS, we connect Earth observations from space with people. We know satellites and how to refine and combine their data to bring out insights about environment, water, renewable energy, urban development and many more areas of our physical environment to the public and clients all over the world.

We are a young and international bunch of remote sensing experts, data scientists, software developers and project leaders, many with science background and all with curiosity to learn and make use of the ever-growing capabilities of satellites and newest technologies. We have 20 years of experience in our field and have been expanding rapidly in recent years.

With around 25 employees, DHI GRAS is at the same time a small and agile company and a global enterprise: We are the space-specialist daughter company of the larger and renowned engineering company DHI, that has offices all around the world. We are located at the group’s headquarters in Hørsholm and work closely together with our colleagues in Denmark and abroad to share knowledge, experience, and supporting functions.

See our projects to get a sense of what we do: www.dhi-gras.com/projects.

Responsibilities and challenges
The main responsibilities and challenges in the job are:

• Join a small and dedicated team of five (and counting) frontend and backend developers
• Develop and deploy data flow automation software to the cloud, while growing your knowledge and our capabilities
• Collaborate closely with our remote sensing analysts to put their algorithms on compute-steroids
• Design, deploy, and monitor data streams and APIs turning imagery into insight
• Write clean and reusable code and strive for best practice and dev-friendliness
• Build on and contribute to open source software and social codings
• Take responsibility for our tech stack and a decisive role in shaping it
• Keep progressing and learning through knowledge exchange and sparring across the global company

Qualifications and personal skills

• Experienced or bright early-career
• Experienced in working with performant data processing
• Proficient in software development in Python (including Git/GitHub)
• Tech-affine with a sense for strengths and weaknesses of software and systems
• Unix-savvy, maybe used to Docker, too
• Not averse to some ETL work and creative to automate it away
• Used to relational databases like Postgres
• Acquainted with deploying services in clouds like Azure, AWS, or GCP
• Curious, self-driven, and a fast learner
• Good at communicating and proficient in English

Advantageous skills

• Experience with geospatial data, in particular raster data (maybe you know of GeoTIFF)
• Understanding of data flow automation and orchestration software like Airflow, Prefect, Dask, Luigi, Celery
• Acquaintance with Kubernetes and solid experience with Docker
• Experience with distributed compute like Spark or Hadoop
• Experience with CI/CD
• Understanding of infrastructure and orchestration, e.g. with Terraform, Ansible, Puppet, Chef
• Flair for light-weight deployment, dev-friendliness, low-maintenance

We offer

• A versatile and challenging job with focus on developing and expanding your skills and growing together
• A social and fun international working environment with innovative and dedicated colleagues, on Slack and in person
• Experience to learn from in cloud-scale data processing, still a very open tech stack
• Data you can relate to: beautiful maps of our physical environment
• Work on projects that have an immediate positive impact on environment and people and get great exposure internationally (ESA, public agencies, UN, NGOs, renewable energy industry, agriculture, …)
• Close interaction with our satellite data experts, developers, and project owners
• Strong culture for feedback and recognition for your work
• Nice office space and equipment in DHI’s newly built headquarters in green surroundings in Hørsholm
• Delicious lunch prepared by our own kitchen, fruit, coffee and tea
• Fun and varied company events like Friday bars, seasonal parties and outings (once Covid-safety allows)
• A healthy work environment with room for family and social life
• Remote work flexibility

Office location
Hørsholm, Denmark - 25 km north of Copenhagen.

Application / next step
Submit your application including CV by clicking the button below. Please tell us about your skills and about what motivates you to seek this position.

Deadline for application is 31 January 2021.

For further information please explore our website www.dhi-gras.com or contact the Head of Software and Technology - Jonas Sølvsteen at josl@dhigroup.com or + 45 4516 9479.