Intern, Data Engineering

MasterCard; Dublin; On-site; EUR 13,000 - 20,000; Full time

Job summary

Mastercard in Dublin offers an Internship in Data Engineering designed to expose you to real-world data solutions. You will work on data pipelines, models, and scalable processing while collaborating with cross‑functional and international teams.

As a current student in a bachelor's or accelerated master's program, graduating in 2028, you will apply Python, SQL, and data analysis skills to solve business problems, with mentorship, performance reviews, and an end-of-summer presentation to

Qualifications

• Currently enrolled in a bachelor's or accelerated master's programme, graduating in summer 2028.
• Availability for 6 month internship program starting in February 2027.
• Experience or coursework in data science, data engineering, data analysis, statistics, computer science, mathematics or a related field.
• Experience with programming and/or querying languages such as Python, SQL, R or similar.
• Understanding of data structures, databases, data processing and/or data analysis concepts.
• Strong analytical and problem-solving skills.

Responsibilities

• Apply data, analytics, and technology to solve complex business problems and deliver meaningful insights.
• Gather, analyse and interpret data to identify trends, opportunities and solutions.
• Develop and support data-driven applications, models, tools and solutions.
• Design, build and maintain data pipelines, data models and scalable data processing solutions.
• Apply statistical, analytical, machine learning and/or AI techniques to real-world business challenges.
• Work with large and complex datasets across a variety of business and technology domains.
• Collaborate with cross-functional and international teams to deliver data and technology solutions.
• Translate business requirements into effective technical solutions and communicate findings clearly to both technical and non-technical stakeholders.
• Continuously explore and apply new technologies, methodologies and industry developments to improve data and AI capabilities.

Skills

Python

SQL

Data analysis

Problem solving

Team collaboration

Education

Bachelor's degree candidate or accelerated master's program

Tools

Git

Jupyter

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.

Internship Overview

Title and Summary Intern, Data Engineering Overview Mastercard works to connect and power a sustainable and inclusive global economy. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has opportunity to be a part of something bigger and to change lives. We believe in connecting everyone to endless, priceless possibilities.

Internship Program

Internship Program Mastercard’s summer internship program provides emerging talent with projects that will enhance skills as well as contribute to the department’s goals and objectives. In this program, you will participate in:

• Networking events, mentorship opportunities, and hear from senior leaders
• Volunteer and team building opportunities
• Formal performance assessments
• End‑of‑summer presentations to peers and Mastercard leadership
• the opportunity to learn from experienced professionals and gain exposure to a broad range of technologies, methodologies and business areas.

What you’ll do

• Apply data, analytics, and technology to solve complex business problems and deliver meaningful insights.
• Gather, analyse and interpret data to identify trends, opportunities and solutions.
• Develop and support data‑driven applications, models, tools and solutions.
• Design, build and maintain data pipelines, data models and scalable data processing solutions.
• Apply statistical, analytical, machine learning and/or AI techniques to real‑world business challenges.
• Work with large and complex datasets across a variety of business and technology domains.
• Collaborate with cross‑functional and international teams to deliver data and technology solutions.
• Translate business requirements into effective technical solutions and communicate findings clearly to both technical and non‑technical stakeholders.
• Continuously explore and apply new technologies, methodologies and industry developments to improve data and AI capabilities.

What we’re looking for

• Currently enrolled in a bachelor's or accelerated master's programme, graduating in summer 2028
• Availability for 6 month internship program starting in February 2027
• Experience or demonstrated coursework in data science, data engineering, data analysis, statistics, computer science, mathematics or a related field.
• Experience with programming and/or querying languages such as Python, SQL, R or similar.
• Understanding of data structures, databases, data processing and/or data analysis concepts.
• Strong analytical and problem‑solving skills.

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.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.