Senior Data Engineer

About the role

The Senior Data Engineer will design, develop, and support scalable data platforms and pipelines that power Mastercard Open Finance products and services. This role works closely with product, analytics, data science, engineering, and operations teams to deliver reliable, secure, and high‑quality data solutions.

Key responsibilities

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, workflow orchestration, and data products supporting Open Finance analytics, reporting, operational, and AI use cases.
• Partner with product, business, and engineering teams to align analytics infrastructure with product strategy and long‑term scalability needs.
• Collaborate during discovery and design phases to define data capture, instrumentation, and measurement requirements for reliable post‑launch analysis.
• Ensure data solutions meet high standards of quality, security, reliability, performance, and regulatory readiness.
• Contribute to data architecture, platform design, engineering standards, and reusable patterns for growth and scalability.
• Support deployment, monitoring, incident management, and operational management of production data pipelines and platforms.
• Perform complex troubleshooting, root‑cause analysis, performance tuning, and problem resolution across production data solutions.
• Mentor junior engineers and promote continuous improvement of engineering practices.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience in data engineering, preferably at a senior level.
• Ability to collaborate effectively with product, analytics, data science, engineering, and operations teams.

Required skills