Want to help build the data foundation for the future of mobility?
We're looking for a Data Engineer who wants to develop and drive our data platform forward — ensuring that reliable, high-quality data is available for analytics, AI, and business decision-making across the organisation.
About the role
As a Data Engineer at Cabonline, you'll design, build, and continuously improve our data pipelines and data platforms. You'll ensure that data is accurate, available, and actionable — while contributing to the development of architecture, ways of working, and standards across our data domain.
You'll work closely with analysts, AI engineers, and business stakeholders to translate data needs into robust engineering solutions, and play a key role in raising data maturity across the organisation.
The role is based in Stockholm with hybrid working and reports to the Head of CTO Office.
Your main responsibilities
Data Engineering & Delivery
Design, build, and maintain scalable pipelines that ingest, transform, and deliver data from multiple sources
Ensure data quality, reliability, and freshness across all data products and domains
Drive the development and maintenance of data models supporting BI, analytics, and AI use cases
Uphold best practices for version control, testing, documentation, and code review — providing well-structured, trustworthy data foundations for analytics and ML development
Platform & Architecture
Contribute to tooling decisions, patterns, and standards within Cabonline's data ecosystem
Ensure cost-efficiency, security, and compliance across all data platform work
Collaboration & Enablement
Partner with business stakeholders, AI engineers, and analysts to understand data needs and deliver robust engineering solutions
Participate in knowledge-sharing and contribute to raising data literacy within the team and Cabonline as a whole
We're looking for someone with
Hands-on experience designing and building production-grade data pipelines
Strong proficien