Data Engineer
SurPlusMap
Data Engineer
oin SurplusMap as a Data Engineer Intern and work on cutting-edge green energy projects, gain mentorship from industry leaders, and help shape the future of sustainable mobility solutions.
About Us:
At SurplusMap, we are revolutionizing green infrastructure and sustainable mobility through data-driven, AI-powered technology. Our platform is at the forefront of EV charging infrastructure development, geospatial data analysis, and energy forecasting, with ongoing projects supported by leading European tech organizations such as ESA, EIT Urban Mobility, and backed by investors like Equinor-Techstars, Simula, and Bentley Systems.
Join us in accelerating the green transition across Europe as we scale our platform to optimize sustainable mobility and energy solutions.
The Role:
As a Data Engineer at SurplusMap, you will play a pivotal role in supporting our data pipelines and infrastructure. You’ll collaborate with our engineering and data science teams to help maintain efficient and scalable data architectures. Working alongside our Senior team, you will gain hands-on experience with large datasets within , ETL processes, and cutting-edge AI tools to power the green energy transition.
This is an exciting opportunity for someone eager to grow their 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.
Desired Skills and Qualifications:
- Can-do mindset, practical and hands-on with excellent communication skills and results-oriented.
- Strong proficiency in Google Cloud products (especially BigQuery).
- Hands-on experience with SQL for querying large datasets.
- Familiarity with DBT, Dataform, or similar tools for data transformations.
- Basic knowledge of Python for scripting and automation.
- Exposure to Terraform for infrastructure-as-code is a plus.
- Understanding of data pipeline design, optimization, and ETL processes.
- Interest in AI, geospatial data, and green energy technologies (experience with GIS tools or similar is a bonus).
- Strong problem-solving skills, with the ability to work independently and collaborate with diverse teams.
- Preferred 2+ years of experience in relevant positions
What We Offer:
- Work on cutting-edge projects in the EV charging infrastructure and green energy space.
- Opportunity to collaborate with world-class partners like the European Space Agency and EIT Urban Mobility.
- A vibrant, innovative startup environment with flexible working hours at our office in StartupLab in Oslo.
- Be part of a mission-driven team dedicated to bold innovation, sustainability, and creating positive environmental impact.
Preferred Location:
We prefer candidates based in Oslo, but we are open to remote positions for the right candidate.
- Department
- Tech
- Locations
- StartupLab
StartupLab
3 Reasons to Join SurplusMap
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Make a Meaningful Impact:
- At SurplusMap, we are an impact startup dedicated to accelerating the green transition and promoting the global adoption of electric vehicles (EVs) for cleaner, healthier cities. By joining us, you'll be at the forefront of creating a sustainable future, making tangible contributions to environmental preservation and urban livability.
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AI-products to foster EV adoption
- As a tech company, we harness the power of artificial intelligence and state-of-the-art technology to revolutionize the EV charging network landscape. You'll have the opportunity to work with advanced algorithms, machine learning models, and a dynamic, data-rich platform that sets industry standards. At SurplusMap, innovation is at the heart of what we do, and your technical skills will thrive in our forward-thinking environment.
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Grow with Experienced Leaders
- Our founders bring a wealth of experience in scaling companies, fostering interdisciplinary collaboration, and nurturing a multicultural, ambitious team. At SurplusMap, you'll receive mentorship from industry veterans committed to your professional growth. You'll be part of a diverse and dynamic team that values your development and is driven by a shared vision of excellence and sustainability
Workplace & culture
We care for the welfare of present and future generations, and we start at home at our office. In SurplusMap you will find an environment where intellectual curiosity is encouraged. Our team is diverse and multidisciplinary, so be prepared to be challenged and work hard.
You will be sitting at StartupLab the prime location for technology startups, located in Oslo. At StartupLab, you will find an ecosystem consisting of experienced entrepreneurs, intrapreneurs, investors, and business developers who set out to help tech founders in an early stage. StartupLab alumni companies include Huddly, Kahoot, ReMarkable and No Isolation.
About surplusmap
SurplusMap helps develop green infrastructure and promotes the use of electric vehicles (EVs) by providing a user-friendly map interface that combines different data sources to give valuable insights. Our main goal is to support the growth and improvement of EV charging infrastructure in Europe and worldwide.
Join us in advancing the green revolution and creating cleaner, more sustainable cities for the future.
