Data Engineer for Sustainable Mobility Solutions

1 day ago


Oslo, Oslo County, Norway Surplusmap Full time
About Us:

At SurplusMap, we're revolutionizing green infrastructure and sustainable mobility through data-driven technology. Our platform is at the forefront of EV charging infrastructure development, geospatial data analysis, and energy forecasting. We collaborate with leading European tech organizations like ESA and EIT Urban Mobility, backed by investors such as Equinor-Techstars, Simula, and Bentley Systems.

We're committed to accelerating the green transition across Europe by optimizing sustainable mobility and energy solutions.

The Role:

As a Data Engineer at SurplusMap, you'll play a pivotal role in supporting our data pipelines and infrastructure. You'll work alongside our engineering and data science teams to maintain efficient and scalable data architectures. This includes collaborating on ETL processes, working with large datasets, and leveraging cutting-edge AI tools to power the green energy transition.

This is an exciting opportunity to grow your technical skills and contribute to impactful projects aimed at electrifying the transportation industry and achieving cleaner cities.

Key Responsibilities:
  • Collaborate with our engineering and data science teams to design, develop, and maintain data pipelines, including ETL processes.
  • Implement and optimize data storage solutions using Google Cloud products like BigQuery.
  • Work with DBT and Dataform to build robust data transformation workflows.
  • Assist in managing cloud infrastructure with Terraform (nice to have).
  • Ensure data integrity and security across our platform by following best practices in data engineering.
  • Support AI-powered models for EV charger utilization, energy load forecasting, and geospatial analysis.
  • Participate in the design and development of scalable data architectures, contributing to projects aimed at optimizing sustainable mobility solutions.
  • Collaborate with cross-functional teams on projects that integrate machine learning models for energy and infrastructure predictions.


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