Senior Data Engineer

ABOUT

THE ROLE & TEAM:

At Televisa Univision, we are the world's leading Spanish-language media company, reaching millions of consumers across digital, streaming, social, audio, linear television, and live events. As we continue expanding our global streaming platform, ViX, we are investing heavily in technology, data, and innovation to deliver exceptional subscriber experiences and drive long-term business growth.

The Data Engineering team designs, builds, and operates the high-volume, high-velocity data pipelines that power ViX, including playback and engagement events, subscription data, advertising data, and the analytics data warehouse that turns them into business decisions. The team works closely with Engineering, Product, Data Science, and Analytics teams across Televisa Univision.

The Senior Data Engineer will play a key role in the design, development, and deployment of our streaming data platform. You will own production data pipelines end to end, from real-time ingestion through modeled, analytics-ready data, and partner with data science, analytics, and product teams to understand their data needs and drive initiatives to completion.

The ideal candidate combines strong technical expertise with a collaborative mindset, a passion for solving complex data challenges, and a commitment to delivering high-quality solutions UT YOU:

You are a data engineering professional who thrives in a fast-paced, collaborative environment and enjoys transforming complex data into actionable business value.

You bring:
· Deep expertise in modern cloud-based data platforms, particularly Google Cloud Platform (GCP), including Big Query, Pub/Sub, Dataflow, and Cloud Composer
· Strong proficiency in Python, SQL, and data transformation frameworks such as dbt
· Hands-on experience building both batch and real-time (streaming) data pipelines at scale
· Experience working with large-scale distributed systems and big data technologies, including Spark and Hadoop
· Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
· Excellent problem-solving skills with the ability to design scalable and efficient solutions
· Strong attention to detail and the ability to manage multiple priorities effectively
· Outstanding communication and collaboration skills, with the ability to partner across technical and non-technical teams
· A continuous improvement mindset and passion for mentoring and knowledge sharingYOUR DAY-TO-DAY: (Responsibilities)
Data Platform Development
· Design, develop, and maintain scalable, reliable, and efficient batch data pipelines using Airflow (Cloud Composer), Python, SQL, and dbt
· Build and maintain real-time ingestion pipelines that land event data from Pub/Sub into Cloud Storage and Big Query using Dataflow
· Build and optimize dimensional data models and workflows in the analytics data warehouse to support reporting, analytics, machine learning, and product initiatives
· Own assigned pipelines end to end, from design and development through testing, deployment, and production support
· Ensure data quality, integrity, security, and availability across the data ecosystem

Cross-Functional Collaboration
· Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand business requirements and translate them into technical solutions
· Contribute to data architecture discussions and long-term platform strategy
· Collaborate with stakeholders to identify opportunities for process improvements and operational efficiencies

Performance & Optimization
· Optimize data storage, processing, and orchestration for performance, scalability, and cost efficiency, including Big Query query and storage costs
· Monitor, troubleshoot, and resolve data pipeline and platform…