Senior Data Engineer, Risk Technology

Lab49, part of ION Group, is seeking an experienced Senior Data Engineer to join their team in Mexico City. This role focuses on building and maintaining sophisticated data platforms for market and credit counterparty risk systems in the financial services sector. The position requires a strong background in data engineering with at least 8 years of experience working with large datasets and maintaining high performance standards.

The ideal candidate will bring expertise in Python programming and modern data technologies including AWS, Airflow, and Snowflake. They will be responsible for designing and implementing scalable data pipelines, ensuring system reliability through proper monitoring and alerting, and collaborating with various stakeholders to deliver high-quality solutions.

This role offers an opportunity to work on challenging problems in financial technology, specifically focusing on market and credit counterparty risk platforms. The position requires both technical excellence and strong communication skills, as the engineer will be working closely with various team members and stakeholders.

The work environment is hybrid, offering flexibility while maintaining collaborative opportunities. Lab49 emphasizes an inclusive culture that values diverse backgrounds and perspectives. They provide a supportive environment for professional growth and development, making it an excellent opportunity for experienced data engineers looking to make an impact in the financial technology sector.

Key technical requirements include advanced Python skills, experience with AWS cloud services, and familiarity with modern data engineering tools and practices. The role involves working in an agile environment with modern development practices including CI/CD, code review, and infrastructure as code.

This position would be ideal for someone who combines strong technical abilities with business acumen and has a particular interest in financial technology and risk management systems. The role offers the opportunity to work on complex, large-scale data systems while contributing to critical financial infrastructure.