About the Role We’re looking for a Senior Data Engineer who thrives in inclusive, collaborative environments and is passionate about building scalable data solutions. You’ll design and maintain data architectures, develop ETL/ELT pipelines, and implement Data Ops practices. You’ll mentor junior engineers and work closely with stakeholders to translate business needs into technical solutions. Responsibilities:
Design, develop, and maintain scalable data pipelines using Python, Snowflake, AWS Glue, and Airflow. Build and optimize ETL/ELT workflows to ingest, transform, and deliver data from various sources. Implement data quality checks, monitoring, and alerting to ensure pipeline reliability. Collaborate with analysts, scientists, and stakeholders to understand requirements and deliver solutions. Establish and enforce data engineering best practices, coding standards, and design patterns.



Optimize query performance and data storage strategies in Snowflake and cloud data warehouses. Implement CI/CD pipelines for automated testing and deployment of data workflows. Monitor pipeline performance, troubleshoot issues, and implement improvements proactively. Create and maintain technical documentation for data architectures, pipelines, and processes. Participate in code reviews and provide constructive feedback to team members. Mentor junior data engineers on modern tools, techniques, and best practices. Stay current with emerging data technologies and evaluate their applicability to business needs. Collaborate with Dev Ops and platform teams to ensure infrastructure scalability and reliability. Support data governance initiatives and ensure compliance with security policies. Requirements:

📌 Senior data engineer ii (Ciudad de México)
🏢 RELX
📍 Ciudad de México