Big Data Engineer

Ready to Amplify Your Career?
If you're excited about building the data infrastructure that powers industry-standard listening measurement, we'd love to hear from you. Join our Measurement team and help deliver the trusted analytics that drive decision-making across the podcasting and digital radio industry.     What You'll Do
Build and maintain the data infrastructure that transforms raw listening data into actionable insights for the podcasting and digital radio ecosystem. You'll work with massive datasets to create accurate measurement solutions that industry stakeholders trust for audience analytics and performance metrics.   Key Responsibilities:

•    Design and implement robust data processing pipelines for accurate listening measurement and reporting

•    Develop automated systems for data ingestion, validation, and quality assurance across multiple audio platforms

•    Create and maintain visualization dashboards and reporting tools for internal and external stakeholders

•    Build ML/AI models for audience measurement, demographic analysis, and listening pattern recognition

•    Ensure data accuracy and integrity in measurement reporting that impacts industry decisions

•    Optimize data delivery systems for real-time and batch reporting requirements

•    Collaborate with client-facing teams to translate measurement needs into technical solutions   What We're Looking For
Technical Excellence:

•    Programming Languages: Scala*, JavaScript, Python

•    Big Data & ML/AI Expertise: Apache Spark*, Pandas, supervised/unsupervised learning, NLP

•    AWS Proficiency*: S3, SageMaker, RDS/PostgreSQL, QuickSight, Lambda, EMR, Athena

•    Analytics & Visualization: SQL*, Apache Druid, Looker, Apache Zeppelin notebooks

•    Infrastructure: Terraform for infrastructure as code

•    DevOps: CI/CD pipelines, logging, monitoring, alerts, deployment automation

•    Integration: API development and management
(* required)   Personal Qualities:

•    Genuine interest in audio content, podcasting, and digital radio

•    Excellent English communication skills for cross-functional collaboration

•    Proactive problem-solver who thrives in a team environment

•    Curious mindset with passion for turning data into relevant business insights    Ownership & Accountability: We believe in true ownership of the systems you build. This means taking full responsibility for the operational health and performance of your services throughout their entire lifecycle. Your work extends beyond code deployment to include ongoing monitoring, maintenance, and continuous improvement of the measurement ecosystem.   Why Join Us?
Work in a mission-critical team where data accuracy directly impacts industry measurement standards. You'll have the opportunity to build systems that provide trusted listening metrics to broadcasters, advertisers, and content creators while working with cutting-edge big data technologies.   What We Offer:

•    100% Remote Work - Work from anywhere in Spain or Italy while contributing to industry-standard listening measurement and analytics

•    Opportunity to work with comprehensive podcast and digital radio datasets across multiple platforms

•    Direct impact on measurement methodologies that influence the podcasting and digital radio industry

•    Collaborative environment focused on data precision and innovation

•    Exposure to latest technologies in data processing, visualization, and measurement analytics

•    Professional development opportunities in the rapidly evolving audio measurement space   Please provide an English resume. We're an equal opportunity employer committed to diversity and inclusion in the rapidly evolving podcasting and digital radio landscape.