
Software Development Engineer II - Data and Analytics
Mastercard · Greater Dublin
- On site
- Full-time
- $120,000 / year
- Greater Dublin
Job highlights
- Build next-gen experimentation platform.
- Develop scalable cloud-native services.
- Work with Databricks, AWS, Azure.
- Collaborate with global teams.
- Contribute to full development lifecycle.
About the role
Software Development Engineer II - Data and Analytics
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together, we are building 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, innovation, partnerships, and networks deliver unique products and services that help people, businesses, and governments realize their greatest potential.
About the Role
The Business Experimentation and Optimization (BE&O) teams within Mastercard’s Services organization are building industry-leading software that empowers business users worldwide to make data-driven decisions through advanced analytics and experimentation. As we expand our product offerings and modernize our technology stack, we are reimagining how we deliver scalable, cloud-native solutions to our clients. We are seeking a technically strong Software Development Engineer to contribute to the architecture, design, and development of our next-generation experimentation platform. You will work closely with other team members to implement and evolve system designs, ensuring solutions meet high engineering standards. You will build and enhance scalable services, APIs, and analytical capabilities that power the platform, leveraging technologies such as Databricks and cloud platforms including AWS and Azure.
This role involves close collaboration with your immediate team and other development teams across programs to align on shared goals, contribute to cross-cutting initiatives, and deliver cohesive, enterprise-grade solutions. You will participate in design and code reviews, contribute to engineering best practices, and support operational excellence. You will work effectively across global time zones, contribute to a strong engineering culture, and continuously grow your technical skills while helping the team deliver reliable, high-quality software.
Our teams are small, agile, and empowered to choose the processes that work best for their goals. Every engineer contributes to the full development lifecycle—from ideation and design to implementation and testing—fostering a culture of ownership, innovation, and continuous improvement. We are seeking passionate and talented engineers who share our vision of empowering customers to make smarter, data-driven decisions. Join us and help shape the future growth of our team.
Position Responsibilities
At Mastercard Services, you will work with talented teams to develop cutting-edge, analytics-driven products that help businesses worldwide seize the most value from their data.
As a Software Development Engineer II, You Will
- Design, build, and enhance cloud-native services and modern frameworks that support data-driven decision-making for some of the world’s largest organizations.
- Develop scalable, high-quality applications and services, contributing to APIs and backend systems deployed on AWS or Azure cloud infrastructure.
- Collaborate with senior engineers and architects to implement and evolve technical designs, applying modern architectural patterns and technologies to continuously improve product capabilities.
- Contribute to the development and modernization of web-based data and analytics applications, helping improve performance, scalability, reliability, and maintainability as the platform grows.
- Participate in design and code reviews, applying best engineering practices (clean code, testing, security, performance) and continuously improving code quality and system robustness.
- Work closely with cross-functional partners—including Product Management, QA, and Data Science—to translate functional requirements into well-designed, scalable technical solutions.
- Support the modernization and optimization of existing systems, including contributions to service-based architectures and cloud scalability efforts to support increasing data volumes and user demand.
- Collaborate effectively with globally distributed teams, demonstrating strong communication skills and a team-first mindset in a fast-paced, agile environment.
Ideal Candidate Qualifications
- 2+ years strong full-stack software engineering experience in an agile development environment, with experience building and supporting production-grade applications.
- Hands-on experience developing microservices and RESTful APIs, along with working knowledge of relational databases and distributed data stores.
- Experience with cloud platforms (AWS and/or Azure) and modern deployment practices, including containerization (e.g., Docker) and familiarity with orchestration tools (e.g., Kubernetes).
- Experience working with data and analytics platforms, such as Databricks and Spark (or PySpark), for building or consuming data pipelines and analytical workloads.
- Ability to collaborate with Product and Engineering partners to understand requirements and contribute to technical design discussions, balancing functional and non-functional considerations.
- Exposure to Generative AI (GenAI) concepts or applications within software products or the development lifecycle is a plus.
- Demonstrated ability to learn new domains quickly, contribute independently to complex codebases, and deliver high-quality solutions with guidance from senior engineers.
- Strong problem-solving, communication, and collaboration skills, with experience working across teams and time zones.
- Self-motivated and adaptable, with the ability to thrive in a dynamic, fast-paced environment while continuously improving technical skills.
- Bachelor’s degree in Computer Science or a related field (or equivalent practical experience) with a solid foundation in software engineering fundamentals.
About Mastercard
Mastercard is the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, and a technology innovation lab. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you.
Mastercard is an equal opportunity employer that values diversity and inclusion. Applicants will be considered and treated without regard to gender, gender identity, race, color, ethnicity, national origin, religion, sexual orientation, veteran or disabled status, or any other characteristic protected by applicable law.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks come 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.
Key skills/competency
- Software Development
- Data and Analytics
- Cloud-Native Services
- API Development
- AWS
- Azure
- Databricks
- Spark
- Microservices
- Agile Development
Skills & topics
- Software Development Engineer
- Data Engineering
- Analytics
- Cloud Computing
- AWS
- Azure
- Databricks
- Spark
- Microservices
- API Development
- Full Stack Development
- Agile
How to get hired
- Tailor your resume: Highlight experience with cloud platforms (AWS/Azure), data analytics tools (Databricks, Spark), and microservices development.
- Showcase agile experience: Emphasize your background in agile development environments and full lifecycle contributions.
- Demonstrate problem-solving: Prepare examples of complex technical challenges you've overcome and solutions you've implemented.
- Highlight collaboration: Provide instances where you've successfully worked with cross-functional teams across different time zones.
- Prepare for technical questions: Be ready to discuss system design, API development, and data pipeline architecture.
Technical preparation
Behavioral questions
Frequently asked questions
- What kind of data and analytics projects will I be working on at Mastercard as a Software Development Engineer II?
- As a Software Development Engineer II on the Data and Analytics team at Mastercard, you will contribute to building and enhancing our next-generation experimentation platform. This involves designing and developing scalable, cloud-native services and APIs on platforms like AWS and Azure, leveraging tools such as Databricks and Spark to process data and enable data-driven decision-making for large organizations.
- What are the key technologies used in the Software Development Engineer II role at Mastercard?
- Key technologies for this Software Development Engineer II role include cloud platforms like AWS and Azure, data processing and analytics tools such as Databricks and Spark (PySpark), and experience with microservices, RESTful APIs, and containerization technologies like Docker. Familiarity with Kubernetes is also beneficial.
- What is the expected experience level for a Software Development Engineer II at Mastercard?
- Mastercard typically looks for Software Development Engineers with at least 2 years of strong full-stack software engineering experience in an agile development environment. This includes hands-on experience building and supporting production-grade applications, developing microservices and APIs, and working with cloud platforms and data/analytics tools.
- How does Mastercard foster a strong engineering culture for its Software Development Engineers?
- Mastercard fosters a strong engineering culture through small, agile, and empowered teams where engineers contribute to the full development lifecycle. There's an emphasis on ownership, innovation, continuous improvement, design and code reviews, and a commitment to operational excellence and continuous learning, even while working across global time zones.
- What is the career growth potential for a Software Development Engineer at Mastercard?
- Mastercard emphasizes that as the company grows, so should its employees. For Software Development Engineers, this means opportunities to continuously grow technical skills, contribute to cutting-edge products, and work on modern technology stacks, potentially leading to advanced roles within the data and analytics domain.
- Does Mastercard offer opportunities to work with emerging technologies like Generative AI for their Software Development Engineers?
- While not a primary requirement, exposure to Generative AI (GenAI) concepts or applications within software products or the development lifecycle is considered a plus for this Software Development Engineer II role at Mastercard. This indicates an openness to integrating new technologies into their platforms.