IoT Data Engineer (Azure) to Wallenius Wilhelmsen
About this role
IoT Data Engineer (Azure) to Wallenius Wilhelmsen
IoT Data Engineer (Azure) – Vessel & Sensor Data
Wallenius Wilhelmsen | Oslo or Göteborg |
At Wallenius Wilhelmsen, they don’t just move vehicles across the world, but are transforming how global shipping operates. With a clear ambition to become carbon-neutral by 2040, data is at the heart of everything they do.
Now, on behalf of Wallenius Wilhelmsen, we’re looking for an IoT Data Engineer with experience in Azure and data pipelines who wants to turn complex vessel and sensor data into insights that make a real impact.
Why this role matters
Every vessel in the global fleet generates large volumes of high-frequency IoT and telemetry data, from fuel consumption to performance and environmental impact.
Today, that data holds untapped potential.
Your mission is to structure, connect and scale this data so it can be used in real-world decision-making.
You will build the foundation for how data is used across the operations, enabling smarter decisions, improved vessel performance and reduced emissions.
Responsibilities
- You will take ownership of how vessel data is transformed into reliable and scalable data products:
- Build and maintain data pipelines for high-frequency IoT and telemetry data
- Work with Azure cloud and IoT platforms to structure and process data
- Combine sensor data with vessel and operational data (metadata)
- Ensure data quality through validation, cleaning and standardization
- Create scalable and well-documented data products
- Enable data for analytics, applications and decision-making
- Develop integrations between systems (APIs, cloud-to-cloud)
- Contribute to improving our data architecture and cloud environment
- What you bring
- We’re not looking to tick every single box, but you likely have:
- Experience as a Data Engineer, preferably working with Azure
- Hands-on experience building and maintaining data pipelines (industrial data)
- Experience working with IoT, telemetry or