Data Engineering Intern: Build Scalable Pipelines

Mastercard; Dunboyne; On-site; EUR 13,000 - 27,000; Full time

Job summary

Mastercard seeks an Intern in Data Engineering in Ireland to join a dynamic analytics team. You will contribute to building data pipelines, models and data-driven solutions while learning from seasoned professionals in a global payments leader.

You will work on diverse datasets, applying Python, SQL and statistical methods, with opportunities to engage across business areas and showcase your work at the end of the internship.

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 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 various business and technology domains.
• Collaborate with cross-functional and international teams to deliver data and technology solutions.

Skills

Python

SQL

Data analysis

Statistics

Machine learning

Data engineering

R

Education

Bachelor's or accelerated master's

Tools

Git

SQL

Job description

Mastercard seeks an Intern in Data Engineering in Ireland to join a dynamic analytics team. You will contribute to building data pipelines, models and data-driven solutions while learning from seasoned professionals in a global payments leader.

You will work on diverse datasets, applying Python, SQL and statistical methods, with opportunities to engage across business areas and showcase your work at the end of the internship.