Manager - Data Engineering

Mastercard

Not specified (potential for hybrid or remote based on industry norms).
Advanced sql skills for large data sets
Building data pipelines and data warehouses
Experience with databricks and hadoop
Mastercard is seeking a Manager of Data Engineering to lead its Product Data & Analytics team, focusing on building and maintaining data pipelines and analytical capabilities. The ideal candidate will have extensive experience in data engineering and management, along with strong technical skills in SQL, cloud platforms, and big data technologies

Job Summary

  • Mastercard powers economies and empowers people in over 200 countries and territories worldwide by delivering secure, simple, and accessible digital payment solutions.
  • The Manager - Data Engineering will lead global and regional teams to architect and maintain large-scale data pipelines and analytics systems that support key business decisions and strategic initiatives.
  • The role requires strong technical expertise combined with leadership skills to recruit, train, and supervise data engineers and analysts while driving data-driven decision making across the organization.

Matching Summary

Match Score: 85

Mastercard is seeking a Manager of Data Engineering to lead its Product Data & Analytics team, focusing on building and maintaining data pipelines and analytical capabilities. The ideal candidate will have extensive experience in data engineering and management, along with strong technical skills in SQL, cloud platforms, and big data technologies.

Skills & Requirements

Must-have

  • Advanced SQL skills for large data sets
  • Building data pipelines and data warehouses
  • Experience with Databricks and Hadoop
  • Cloud platforms such as AWS or Azure
  • Data automation and ETL development
  • Data quality and validation processes
  • Team leadership and cross-functional collaboration

Nice-to-have

  • Financial institution or payments experience
  • Experience with Pyspark, Python and Hive
  • Knowledge of SSIS, SSAS, SSRS
  • Strong communication and presentation skills
  • Ability to work under ambiguity
  • Creativity and innovation mindset
  • Project management and risk mitigation

Key Requirements

  • Bachelor’s or Master’s degree in Computer Science or related field
  • Experience in data engineering and quantitative analysis
  • Experience with big data technology stacks
  • Strong problem solving and analytical skills
  • Excellent English communication skills

Work Rights

Not specified

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