Data Engineer - Data Platform & Integrations
About this role
XXL is one of Scandinavia’s largest sports and outdoor retailers, with more than 85 stores across three markets. Having recently becoming part of an international group, XXL is continuing its digital and data transformation to support scalable growth, smarter decision-making, and improved customer experiences.
To strengthen our data platform and integrations capabilities, we are now looking for a Data Engineer to join our Data Team in Stockholm.
About the Data Team
The Data team is responsible for building and operating XXL’s cloud-based data platform and integration layer. We work across the full data lifecycle — from ingesting and integrating data from source systems, to making it available for analytics, reporting, machine learning, and operational use cases.
The team is part of XXL’s IT organization of around 20 people across Sweden and Norway, with a strong focus on innovation, reliability, and modern engineering practices.
Responsibilities
- As a Data Engineer at XXL, you’ll play a key role in designing, building, and operating our data platform and integration solutions. You’ll work with data from multiple systems, bringing it together into a central data lake and analytics environment that is reliable, secure, and easy to use.
- This role blends data engineering, integrations, and platform ownership, making it a great fit for someone who enjoys working at the intersection of infrastructure and business needs. You’ll have real influence over technical decisions and a direct impact on how our data platform evolves over time.
- Design, build, and maintain robust ETL/ELT pipelines and data integrations
- Integrate data from internal systems, SaaS platforms, and external partners
- Develop and maintain data models, data marts, and analytics-ready datasets
- Ensure data quality, availability, and reliability through monitoring and automation
- Operate and evolve the data platform using CI/CD and Infrastructure as Code
- Collaborate with BI, analytics, and