
Data Engineer to Sweetspot
- Stockholm
- Permanent
- Heltid
- Rebuild our data pipelines - Audit and re-engineer our existing data flows to improve scalability, resilience, and performance.
- Design modern data architecture - Own the design and implementation of data models and storage strategies that support reporting, analytics, and product features.
- Enable smarter insights - Partner with Product, Engineering, and Commercial teams to make sure the right data is available, accurate, and actionable.
- Build for customer needs - Talk to customers, understand their problems to ensure we build the data flows and analysis that creates value in both daily operations and strategy decisions.
- Champion data governance - Introduce and evolve best practices for data quality, documentation, versioning, and compliance.
- Drive automation - Replace manual processes with robust, automated solutions to increase efficiency and reduce operational friction.
- Build for impact - Everything we do is commercial. Your work will directly influence revenue generation, player engagement, and strategic decision-making across our customer base.
- Solid experience building and maintaining data pipelines (ETL/ELT), with dbt as your go-to tool.
- Strong skills in SQL and a solid understanding of data modelling best practices (e.g. star/snowflake schemas).
- Proficiency in Python, along with knowledge of software engineering practices such as version control and CI/CD.
- Experience working with cloud data platforms like BigQuery, Snowflake, or similar.
- Work with purpose - help redefine an entire industry through data.
- Have real impact - this is a core role, not a cog-in-the-machine position.
- Collaborate with sharp, mission-driven teammates.
- Join a company that's serious about having fun while being relentlessly focused on outcomes.
- Shape our data future - your work lays the foundation for the next generation of insights in golf.
Uptrail