Senior Data Engineer - Capital Markets

Overview

Senior Data Engineer responsible for designing, building, and operating scalable data platforms, pipelines, and integration solutions. The role includes technical leadership, mentoring, and ownership of large cross-functional engineering initiatives.

What you'll do

• Design and implement scalable data architectures for business and analytical needs.
• Build and maintain data pipelines, ETL processes, and data integration solutions.
• Optimize databases, warehouses, lakes, and pipelines for performance and reliability.
• Translate stakeholder requirements into data models and technical solutions.
• Establish data quality, validation, documentation, and governance practices.
• Lead architecture, monitoring, code reviews, and production issue resolution.
• Mentor junior engineers and coordinate delivery across multiple projects.

What you'll need

• 8+ years of experience in data engineering, architecture, ETL, and database management.
• Strong Python or PySpark skills, plus experience with Java or Scala.
• Experience building complex end-to-end data pipelines and integration solutions.
• Strong SQL skills and experience with relational and NoSQL databases.
• Experience with Spark, Kafka, Hadoop, or similar big data technologies.
• Experience with Airflow, Databricks, Jenkins, or similar orchestration tools.
• Experience with cloud platforms and mentoring junior engineers.

Nice to have

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Databricks experience or certification.
• Experience with AWS Redshift, S3, Azure SQL Data Warehouse, or comparable services.
• Experience with data governance, data quality, or observability frameworks.
• Experience leading cross-functional or multi-month engineering initiatives.
• Experience using AI-assisted engineering tools.

Details

• Remote role in Mexico.