Details.
Own meaningful parts of Equiem's data platform, including pipeline design, architectural decisions, data models, and collaboration with product and analytics teams. Responsibilities include building data pipelines across ingestion, streaming, storage and transformation, contributing to data warehouse re-architecture, maintaining Glue ETL jobs and dbt models, ensuring pipeline correctness, implementing data quality monitoring, and translating business needs into well-modelled data marts. Essential experience includes production data pipelines, SQL, dbt, AWS data services, Python or TypeScript and Node.js, AWS CDK, data quality practices, and clear communication. The role offers a path from Senior to Lead Data Engineer, flexible remote work, wellbeing leave, paid parental leave, an employee assistance program, and leadership development.