Data Engineer (Satellite Data)

Location: Norway, with the possibility to work from the Bergen or Oslo office; candidates in any Europe location within commuting distance of a hirify.global office are also considered. Hybrid work model.

Company

hirify.global develops satellite-based solutions that unlock the value of data to support decisions in a changing environment.

What you will do

• Maintain, improve, and modernize backend processes for satellite imagery and geospatial data.
• Design, develop, and optimize scalable satellite data pipelines and reliable ETL workflows, including orchestration with tools such as Prefect.
• Ingest, transform, validate, and catalogue large volumes of satellite and environmental data.
• Develop scripts, tools, and services that integrate satellite data into products and align data platforms with business and product requirements.
• Monitor operational pipelines, troubleshoot issues, and contribute to reliable 24/7 data delivery.
• Collaborate with engineering, meteorology, product, and operations colleagues while improving software quality through testing, documentation, code reviews, and continuous improvement.

Requirements

• Degree in Computer Science, Data Engineering, Atmospheric Science, Geoscience, or a related field, or equivalent practical experience.
• At least three years of professional programming or data engineering experience, ideally involving large-scale satellite, environmental, or geospatial data.
• Strong Python and SQL skills, with experience designing and operating data pipelines and ETL processes.
• Familiarity with workflow orchestration tools such as Prefect, Airflow, or similar.
• Experience with UNIX/Linux systems and scripting.
• Knowledge of satellite and geospatial data formats such as NetCDF, HDF, GeoTIFF, COG, Shapefile, GeoParquet, and/or GRIB.
• Experience with tools and libraries such as GDAL, SNAP, Xarray, Rasterio, or similar.
• Experience with Git, unit testing, automated testing, and software development best practices.
• Strong written and verbal English communication skills, plus a structured, curious, solution-oriented approach to problem-solving and the ability to collaborate effectively.

Nice to have

• Experience working with atmospheric, oceanographic, or other environmental data.
• Experience supporting production systems or data services in an operational environment.
• Knowledge of satellite data cataloguing, metadata standards, or data discovery platforms.
• Experience with containerization, CI/CD, or infrastructure-as-code.
• Experience with test-driven development or similar quality-focused practices.

Culture & Benefits

• Smart, creative, and innovative environment with a supportive team of professionals.
• Hybrid work model.
• International development opportunities supporting professional growth.
• International, collaborative environment that values curiosity, clear communication, practical problem-solving, diverse perspectives, and knowledge sharing.

Hiring process

• Applications and CVs must be submitted through the provided application link; applications sent by email are not considered.
• Suitable candidates are contacted continuously, so applications are reviewed on an ongoing basis.