Senior Data Engineer
About this role
About Acast
Since 2014, Acast has been building the world’s most valuable podcast marketplace, creating the technology that connects podcast creators, advertisers, and listeners. Its marketplace spans more than 140,000 podcasts, 3,300 advertisers, and one billion quarterly listens. Crucially, those listens are monetized wherever they happen—across any podcast app or listening platform.
Responsibilities
- Cross-Product Data Bridging: Collaborate with and across multiple product squads to unify data strategies, ensuring that the Insight Platform serves as a cohesive "connective tissue" for data generated across different domains.
- Architect Multi-Cloud Pipelines: Drive the end-to-end design of scalable ELT/ETL pipelines, managing complex data flows across AWS and GCP (BigQuery) to ensure a unified "source of truth."
- Standardized Measurement Processes: Implement and maintain rigorous data quality frameworks to normalize and standardize performance metrics for audio (listens) and video (views), ensuring consistency across all creator-facing dashboards.
- Ana
About Acast AB (publ)
Since 2014, Acast has been building the world’s most valuable podcast marketplace, creating the technology that connects podcast creators, advertisers, and listeners. Its marketplace spans more than 140,000 podcasts, 3,300 advertisers, and one billion quarterly listens. Crucially, those listens are monetized wherever they happen—across any podcast app or listening platform. About the role We are looking for a Senior Data Engineer to further the evolution of our Insight Data Platforms. This role sits at the critical intersection of high-volume event processing, multi-cloud architecture, and business intelligence. You will be responsible for building and refining the pipelines that turn billions of raw events into standardized metrics—covering both audio listens and video views—to provide actionable growth insights for creators. A central part of this role is acting as a technical bridge across the organization. You will navigate multiple product teams, aligning disparate data streams and ensuring that insights are consistent regardless of which squad generates the underlying events. You won't just move data; you will design the standardized processes that ensure data quality and speed, empowering our internal teams and creators with world-class performance signals across all media formats.