For our client we are looking for a Senior Fullstack Developer - Data Engineer/Science/Analytics.

At Volvo Cars, we believe that being curious and truly committed to understanding people is the key to future success. We are people who care about other people, working together to create new technologies and innovations for safe, sustainable and convenient mobility. Want to join us?

What’s in it for you?

You will be part of the Analytics and Data domain team and we are perhaps working with the most exciting digital product right now, i.e. enabling analytics in several of our domains such as aftermarket, manufacturing and engineering with focus software installation in our vehicles.

Today there are two teams working on the same product, situated in Gothenburg. We believe in the power of WE and co-creation and do most of our work in our Torslanda team place.

It is not a coincidence that we say Volvo For Life. We make sure we have a warm and inclusive team culture mixed with personal development and many of us stay in the company for a long time either taking on larger responsibility in a product or expand into the ART or elsewhere in the company.

What you’ll do

We are looking for a versatile Full Stack Developer with strong skills in Machine Learning, Data Engineering, and modern development practices. You will work across the stack—from frontend applications to backend systems and data pipelines—while collaborating in a fully DevOps driven team.

Do you fit the profile?

We are looking for a consultant with advanced expertise in both backend and frontend development, particularly with a strong background in React, Typescript as well as Python and Java. The ideal profile includes a track record of designing scalable, high-performance systems and hands-on experience with both relational and non-relational databases, such as SQL and MongoDB. Proficiency in Typescript, UX/UI design, CI/CD pipelines, , Azure Cloud Services, and messaging platforms like Kafka and MQ is must. Familiarity with agile methodologies is essential.

Good understanding of Machine learnings concepts and how to apply them in production, Experience designing, building, and maintaining data pipelines, Familiarity with feature engineering, data validation, and model deployment workflows. Good understanding of cloud native practices.

Who are you?

You are a curious and open-minded person who are continuously striving to develop your skillsets. You are willing to develop a T-shaped profile by expanding your knowledge into one or more other specializations. You are also self-motivated and are willing to network with stakeholder for technical elicitation, Experience in stakeholder communication and business requirement gathering is required.

Please note! We offer continuously. That means that we sometimes remove the assignments before deadline. If you are interested we recommend that you apply immediately.

PayExpress:

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