Experienced Data Engineer for Risk Analytics and Management in AD

Who are we?
Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.
Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent.
We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future.

This team will be responsible for: 
•    Leading the vision, strategy, and roadmap of reliability/risk analytics.
•    Developing statistical packages to automate reliability analytics and residual risk quantification.
•    Develop, test, and maintain data architectures such as databases and large-scale processing systems. 
•    Test case generation strategy and method development for completeness argumentation and AD residual risk analysis.
•    Working with vehicle fleet data to provide insights on the reliability of AD functionality and providing data-supported input for operational safety decision making.
•    Analyzing data from selected events during unsupervised driving.

What it takes to succeed as a Data Engineer in the team:
You should be a self-driven team player with high ambitions. As a person, you are curious, innovative, and entrepreneurial. You care about the people around you, and get things done. Being an entrepreneur includes finding your way through the unexplored landscape of our new business and accepting to not have all the answers given to you.

You have experience in working with data engineering and have a deep understanding of the problem space and have a hands-on experience of working with large real-world datasets from design to production.
You have proven programming skills in Python and having experience in other data engineering languages such as Scala and Java is a merit. You have knowledge and experience of database systems (SQL, NoSQL), Cloud and data warehouse solutions. You have experience in building data ETL pipelines.

You also need to have hands-on experience in raw data manipulation, cleaning, exploration, and visualization, in addition to design and execution of data quality KPIs.
You appreciate agile software processes, data-driven development, and enjoy the develop-learn-iterate process.
Having knowledge of GDPR and data privacy, and how to apply them in the context of data engineering is a merit.
You have great communication and presentation skills and are open to share and collaborate.
We believe that you have a drive to learn continuously and are flexible to broaden your experience to meet the need of the business and the customer. You probably have BSc. MSc. in Computer Science, Statistics, or a relevant Engineering discipline.
Good knowledge in English language, both spoken and written, is required for the role.