Data Engineer, Mastercard

Salary not provided

SQL

AWS

Python

Scala

Airflow

Jenkins

Hadoop

Spark

Hive

Git

Mid and Senior level

Dublin

Office located in Mountain View, Dublin

Global payments technology company

Be an early applicant

Global payments technology company

1001+ employees

FintechB2CB2BBankingPaymentsCredit cards

Be an early applicant

Salary not provided

SQL

AWS

Python

Scala

Airflow

Jenkins

Hadoop

Spark

Hive

Git

Mid and Senior level

Dublin

Office located in Mountain View, Dublin

1001+ employees

FintechB2CB2BBankingPaymentsCredit cards

Company mission

To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.

Job

Company

Role

Who you are

This role is ideal for someone with solid experience in data engineering who is eager to expand their skills across modern big data tools and cloud platforms
Strong coding skills in Python or Scala and a solid understanding of distributed data processing
Hands-on experience with data engineering in Spark and Hadoop ecosystems (HDFS, Hive, Impala)
Working knowledge of Airflow or similar orchestration tools
Exposure to cloud platforms (preferably Databricks on AWS) including S3, Delta Tables and DLT
Familiarity with SQL performance tuning and large-scale data processing techniques
Experience with Git and Jenkins for version control and CI/CD workflows

Desirable

Exposure to Databricks SQL Warehouses and Unity Catalog
Experience in data quality, validation or testing frameworks
Understanding of data governance, lineage, or security practices in enterprise environments

What the job involves

We are looking for a Data Engineer to join our growing SME Data Team
You’ll work with a team of talented engineers to build scalable data pipelines, contribute to platform modernization and support business-critical data solutions that span on-prem Hadoop and Databricks Cloud environments
This is a hands-on engineering role with opportunities to collaborate, learn, and grow in a technically rich environment
Build, maintain and optimize batch and streaming data pipelines using Spark (PySpark/Scala)
Contribute to the migration and modernization of on-prem Hadoop workloads to Databricks Cloud
Develop and support ETL/ELT processes leveraging Hive, Impala, HDFS and Airflow
Implement data ingestion, transformation and quality checks using tools like Delta Lake, SQL Warehouses, and DLT
Collaborate with senior engineers and leads to design data solutions that are scalable and maintainable
Work with Git-based version control and CI/CD processes using Jenkins
Support troubleshooting, performance tuning, and documentation of data workflows and systems
Corporate Security Responsibility:
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

Application process

End Date: August 30, 2025

Our take

Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.

As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.

The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.

Steph

Company Specialist at Welcome to the Jungle

Insights

21% employee growth in 12 months

Glassdoor (4.3)

Company

Company benefits

Gym membership
Share purchase options
Extra holiday purchase optional
Work from home opportunities
Health insurance

Company HQ

Purchase, Harrison, NY

Leadership

Michael Miebach

(CEO, not founder)

Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.

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