Data Engineer for Ventures and New Business

About us

Everyone working at Scania is united by a common purpose: Driving the shift towards a sustainable transport system. We know that the transport industry must change, and it’s a change we want to lead. Scania’s continuous transformative work within circularity, electrification and autonomy shows commercial ideas, powerful insights and competencies that make real change happen.

Ventures and New Business at Scania have a key role in driving the shift and contributing to this vision. We develop and deliver new businesses, supporting Scania’s long-term growth and profitability ambitions. At Ventures and New Business, we develop complementing solutions to our core and build new growth through ventures and investments that strengthen and support our acceleration, driving the shift. We want to engage and inspire our entire organisation to create results together with us, and collaboration and entrepreneurial spirit are part of our culture and what makes us successful. We are today a team of approximate 45+ people and have five ventures. Our office space is very central at Drottninggatan in Stockholm.

 

Job description

A Venture Data Engineer is a critical player in new business ventures, responsible for designing and maintaining scalable data infrastructure that supports data-driven strategic decision-making and innovation. This role involves building and operating robust data pipelines, ensuring data quality, and collaborating closely with other teams to solve business problems.

 

Key Responsibilities

• Data Pipeline Engineering: Design, build, and operate scalable data pipelines to ensure high-quality data for analysis and machine learning.
• Cloud & Data Solutions: Utilize cloud-native tools for automated, scalable, and reliable data solutions aligned with best practices in data governance.
• Cross-functional Collaboration: Partner with data scientists, product managers, and engineers to create data solutions integrated into our products.
• Innovation & Improvement: Stay current with industry trends, contributing to our data strategy and continuously enhancing data engineering practices.

 

About you

You’re a resourceful and driven data engineer who brings a blend of technical expertise and curiosity to solving data challenges. Skilled in cloud technologies and data pipelines, you enjoy creating scalable solutions that directly impact the business. As part of a small, agile team, you’re comfortable stepping outside your core role to tackle diverse tasks and support the team’s goals. Collaborative and adaptable, you work well with cross-functional teams, translating complex needs into practical data solutions. With a strong focus on continuous learning, you stay up-to-date with industry advancements and bring a creative approach to your work.

 

 

We also believe that you:

• Have 5+ years of experience in data engineering, focusing on cloud-native, DevOps-based data infrastructure and production-ready solutions.
• Are proficient in Python, SQL, cloud technologies (especially AWS), data pipeline architecture, and data modeling tools like DBT.
• Bring hands-on experience with scalable data pipelines, ETL/ELT processes, and CI/CD practices to ensure high-quality, robust, and reliable data flows for large datasets.