Assignment description

Our client is now seeking a Software Engineer.
You will perform data analyses based on measurement data from test / field /customer vehicles to follow up on battery usage including battery degradation and quality related issues. The insights will be used to support development of battery systems including design both HW and SW components. An important part of the work is to develop mathematical models for prediction of battery behavior with special focus on battery ageing. You will also define requirements for data collection together with component owners and system architects. Your results will be used by many internal stakeholders within the company including R&D, but also teams working with quality, service, and aftermarket. You will also contribute to an increased usage of data driven development within their company in general and facilitate interactions with the rest of the data community in the company.

Your Competence 
Our client see that you have a master’s degree in engineering, preferably within Mathematics, Statistics, Computer Science or similar with a couple of years of relevant experience. You will need skills in Python and scientific packages like NumPy, Pandas etc. and experience in building data pipelines, data transformation and data visualization. You share their passion for vehicle electrification and enjoy being part of a team. Your analytic ability, creativity and interaction with different teams create a great atmosphere for innovative solutions. You have a conceptual thinking, not afraid of taking vital actions when required.

If you in addition have skills in any of below it is beneficial:

• Version control tools for collaborative development (Git)
• Familiarity with working on modern cloud-based environments
• AI/Machine learning and Databases (SQL)
• DevOps tools such as Kubernetes and Docker
• Experience with CI/CD tools such as Tekton and ArgoCD
• BI tools like Power BI or similar.