MassaJobb.se

Scania is undergoing a transformation from being a leading supplier of trucks, buses, and engines to providing complete and sustainable transport solutions.
Together with TRATON and our sister brands MAN, Volkswagen Truck & Bus, and International, we are working to shape the future of mobility with innovative and environmentally conscious solutions.

Our values – customer first, respect, team spirit, responsibility, and elimination of waste – are at the heart of everything we do.
Together, we are at the forefront of creating a sustainable future.

Role Summary

As a Senior Data Engineer and Team Lead, you will play a central role in shaping and scaling our data platform while leading a team of data engineers.
You will combine hands-on engineering with technical leadership, contributing to architecture, standards, and ways of working across a modern cloud-based data environment.

The role sits at the intersection of technology and leadership: you are expected to drive technical decisions, mentor engineers, and ensure high-quality, scalable data solutions that enable data-driven services across the organization.

Job Responsibilities

• Lead and mentor a team of data engineers, supporting their development and day-to-day work
• Drive technical decisions and contribute to architecture, standards, and platform direction
• Design, build, and maintain scalable data pipelines and data platform capabilities
• Work hands-on with Snowflake, Python, SQL, dbt, and AWS-based data services
• Collaborate across teams to enable reusable data products, shared patterns, and scalable ways of working

Who You Are

You are a senior data engineer with a strong foundation in modern data platforms and a natural inclination to take ownership and lead others.
You combine hands-on technical expertise with the ability to guide teams and influence decisions in a collaborative environment.

You are comfortable working in complex organizations with multiple stakeholders and shared data assets, and you understand the importance of scalable design, governance, and clear standards.
Experience with cloud platforms (preferably AWS), Snowflake, dbt, Python, and SQL is expected, along with a solid understanding of data architecture principles.

You value mentoring, knowledge sharing, and building robust solutions that others can build upon.

We welcome applicants from all backgrounds – your unique experience and perspectives are valuable to us.

This Is Us

You will be part of the AI & Analytics team within Digital Services, working at the core of Scania’s data-driven transformation.
The team consists of data engineers, data scientists, and MLOps professionals collaborating to build scalable data and AI capabilities.

We operate in a modern, cloud-based environment and focus on enabling reusable data products, strong engineering practices, and distributed ownership of data.
The team works closely with stakeholders across the organization, contributing to solutions that support global commercial and operational use cases.

Scania Offers

We offer a dynamic, flexible workplace with hybrid work options, including Scania Sergel and Midway hubs.
With a structured development plan and courses, Scania supports your career growth both locally and internationally.

Benefits include training at our health center Gröndal or wellness allowance, result bonus, flexible hours, and company car leasing.
Scania also hosts events for employees and their families, and Stockholm residents enjoy direct access to Södertälje via Scania Job express buses for an easy commute to Södertälje.

Application

We look forward to receiving your application, consisting of your CV and kindly ask you not to share a cover letter to ensure an efficient and unbiased recruitment process for all parties.

Apply as soon as possible, no later than 2026-06-12.
Screening will take place on an ongoing basis during the application period.
Logical and personality tests may be used as part of the selection process, and a background check may be required for this role.

If you have questions or would like more information, please contact:

Martin Wennerstein, Head of AI and Analytics, martin.wennerstein@scania.com .

We look forward to your application!