Data Engineer

StormGeo Company; Bergen; Hybrid; NOK 800,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid Work Model

International development opps.

Global mission

Job summary

StormGeo is seeking a Data Engineer to build and modernize data pipelines powering satellite-based solutions. You will work at the intersection of satellite data and data engineering, improving data quality and reliability while shaping platforms for current products and future needs.

You will join an international, collaborative team valuing curiosity, clear communication, and practical problem-solving. The role is based in Norway with potential to work from Bergen or Oslo, and open to

Qualifications

• Degree in CS/DE/Atmospheric/Geoscience or related field.
• 3+ years of programming or data engineering with large-scale satellite/geospatial data.
• Strong Python and SQL skills.
• Experience designing and operating data pipelines and ETL processes.
• Familiarity with workflow orchestration tools such as Prefect or Airflow.
• Experience with UNIX/Linux systems and scripting.
• Knowledge of satellite/geospatial formats (NetCDF, HDF, GeoTIFF, COG, Shapefile, GeoParquet, GRIB).
• Experience with GDAL, SNAP, Xarray, Rasterio.
• Experience with Git, unit testing and code reviews.

Responsibilities

• Maintain, improve and modernize backend processes for satellite imagery and geospatial data.
• Design, develop and optimize scalable satellite data pipelines.
• Build and maintain reliable ETL workflows and orchestration.
• Ingest, transform, validate and catalogue large volumes of satellite data.
• Align data platforms with business objectives and product requirements.
• Develop scripts and services that integrate satellite data into StormGeo products.
• Monitor pipelines and troubleshoot to ensure 24/7 data delivery.
• Collaborate with engineering, meteorology, product and operations.
• Share knowledge and contribute to a supportive team culture.
• Improve software quality through testing, documentation and code reviews.

Skills

Python

SQL

English comms

Team collaboration

Problem solving

Education

Bachelor's degree in CS/DE/Atmospheric/Geoscience

Tools

Prefect

Airflow

UNIX/Linux

GDAL

Xarray

Rasterio

Job description

StormGeo is looking for a Data Engineer to help us build, maintain and modernize the data pipelines that power our satellite-based solutions.

In this role, you will work at the intersection of satellite data and data engineering. You will help evolve our backend processes, improve data quality and reliability, and shape platforms that support both current products and future business needs. You will join an international, collaborative team where curiosity, clear communication and practical problem-solving are highly valued.

The position is based in Norway, with the possibility to work from either our Bergen or Oslo office. We are also open to the candidates in any Europe location within commuting distance of one of our StormGeo offices.

Main Responsibilities

• Maintain, improve and modernize backend processes for satellite imagery and geospatial data.
• Design, develop and optimize scalable satellite data pipelines.
• Build and maintain reliable ETL workflows, including orchestration using tools such as Prefect.
• Ingest, transform, validate and catalogue large volumes of satellite and environmental data.
• Align data platforms with business objectives, product requirements and evolving technology.
• Develop scripts, tools and services that integrate satellite data into StormGeo products.
• Monitor operational pipelines, troubleshoot issues and contribute to reliable 24/7 data delivery.
• Collaborate with colleagues across engineering, meteorology, product and operations.
• Share knowledge, contribute ideas and help create a supportive team environment.
• Improve software quality through testing, documentation, code reviews and continuous improvement.

Core Requirements

• A 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.
• 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.
• A structured, curious and solution-oriented approach to problem-solving.
• The ability to communicate clearly, collaborate effectively and contribute positively to a team.

Preferred Qualifications

• 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.

Company Offers

• Global mission - Every day, we enable our clients to navigate a changing environment by unlocking the value of data.
• Smart, creative, and innovative environment, where you'll work alongside a talented and supportive team of professionals.
• Hybrid Work Model.
• International development opportunities to support your professional growth.

We value diverse perspectives and welcome candidates from all backgrounds and industries. StormGeo offers a stimulating international environment where we challenge, encourage, and support each other. Get a glimpse of our culture and what it’s like to be part of our team by watching this short video: StormGeo.