Data Engineer

ROLLER is seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will design and implement robust data modeling and architecture strategies that support high-volume data processing and maintain long-term scalability. You will develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration. Additionally, you will build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.

The ideal candidate will have 5+ years of experience in Data & Analytics or Data Engineering with a focus on scalable cloud-driven data pipeline build. Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs is essential. Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC), is also required.

Joining ROLLER at this pivotal growth stage offers the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally. We offer a dynamic and collaborative work environment, opportunities for professional growth, and the chance to be part of a team that is transforming the guest experience for attractions businesses worldwide.