Lead Data Engineer – AI & Data Strategy

About the role

Mastercard is looking for a Lead Data Engineer to drive AI and data‑strategy initiatives within its Security Solutions Data Science team. You will work closely with data scientists and software engineers to build scalable, production‑ready pipelines that support fraud detection and authentication products.

Key responsibilities

• Lead collaboration with data scientists to understand and optimise existing modelling pipelines.
• Design, develop and automate data pipelines that integrate diverse data sources for analysis and modelling.
• Partner with software engineering teams to deploy and validate production artefacts.
• Identify patterns, simplify processes and build reusable components for multiple use cases.
• Create well‑documented data products that are easy to maintain.
• Mentor junior data engineers and lead projects with loosely defined requirements.

Required profile

• Strong knowledge of Linux/Bash environments.
• Experience with Python, PySpark, Airflow, CI/CD, JIRA, Hadoop, SQL and Databricks.
• Good communication skills and a proactive problem‑solving attitude.
• Ability to lead cross‑functional teams and work in agile settings.

Required skills

• Linux
• Bash
• Python
• PySpark
• Airflow
• CI/CD
• JIRA
• Hadoop
• SQL
• Databricks
• Java (nice to have)
• Jenkins (nice to have)

What we offer

• Competitive salary range $127,000 – $203,000 CAD per year.
• Eligibility for a discretionary annual incentive program.