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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.
Job Responsibility:
Cross-Product Data Bridging
Architect Multi-Cloud Pipelines
Standardized Measurement Processes
Analyst Enablement & Best Practices
Semantic Layer Strategy
Stakeholder Alignment
Infrastructure as Code
Mentorship
Requirements:
Master of SQL and Python
deep understanding of modern data modeling (dbt)
experience with AI coding tools
experience navigating and integrating services across both AWS (S3, Lambda, Glue) and GCP (BigQuery)
communication skills to explain technical trade-offs
understanding of how standardized audio/video metrics impact Acast’s growth and creator success
comfortable (or willing to learn) Node.js and TypeScript