Job Description

Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Data Engineer
Overview
The Applied AI team is looking for a Senior Data Engineer to consistently innovate and problem-solve. The ideal candidate is passionate about building robust data infrastructure, highly motivated, intellectually curious, and thrives in a collaborative environment. You will play a key role in enabling data-driven decision-making across the organization by ensuring the availability of high-quality, scalable, and reliable data systems.
Role
In this position, you will:

• Design, build, and maintain scalable and efficient data pipelines to support analytics and machine learning initiatives.
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver high-impact solutions.
• Develop and optimize ETL/ELT processes to ensure data integrity, quality, and availability.
• Architect and manage cloud-based data infrastructure.
• Implement data governance, security, and compliance best practices.
• Monitor and troubleshoot data workflows to ensure reliability and performance.
• Drive continuous improvement in data engineering practices and mentor junior team members.

All About You
The ideal candidate for this position should:

• Have advanced knowledge of data engineering concepts, including data modelling, ETL/ELT, and distributed systems.
• Be proficient in SQL and programming languages such as Python or Scala.
• Demonstrate hands-on experience with cloud platforms and modern data tools (e.g., Spark, Airflow, NiFi, Kafka).
• Be skilled at designing and optimizing large-scale data architectures and pipelines.
• Communicate complex technical concepts clearly to both technical and non-technical audiences.

Desirable capabilities:

• Experience working with big data technologies.
• Understanding of machine learning workflows and how to support them with data infrastructure.
• Passion for learning and fostering a culture of knowledge sharing.

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.