Senior Data Engineer

Design, build, and maintain scalable batch and near-real-time data pipelines.
• Develop curated datasets and data models that enable reliable analytics and ML workloads.
• Implement pipeline reliability patterns (monitoring, alerting, retries, performance tuning).
• Partner with data scientists to enable feature engineering and model operationalization.
• Ensure secure data handling aligned to enterprise governance and compliance expectations.
• Drive engineering best practices (code quality, testing, documentation, CI/CD where applicable).
All About You
Essential Skills (Must Have):
• Strong proficiency in SQL and Python (or Scala) for data engineering.
• Experience building data pipelines using distributed processing (e.g., Spark).
• Solid understanding of data modeling (dimensional and/or lakehouse patterns) and data quality concepts.
• Experience working with cloud data ecosystems (AWS preferred) and object storage / lake patterns.
• Ability to troubleshoot performance and reliability issues in production pipelines.
• Strong communication skills and ability to collaborate across engineering and analytics stakeholders.
Nice to have:
• Experience with Databricks or similar lakehouse platforms.
• Exposure to ML feature pipelines, model deployment patterns, or MLOps concepts.
• Experience in payments / banking / regulated environments.
• Familiarity with data governance tooling (catalog, lineage) and PII handling patterns.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.