Summary
Are you a recent graduate with a passion for data and a drive to solve real‑world problems? Do you want to take the skills you've built through your studies and apply them in one of the world's most innovative tech companies? If so, this could be the perfect opportunity for you.
Apple's Strategic Data Solutions team works at the forefront of protecting and optimising the business, mitigating fraud, waste, and abuse across the company, while continuously enhancing the experience of our customers and internal partners.
We are excited to offer a 23‑month graduate program focused on decision automation, with the goal of driving meaningful improvements in operational efficiency across our fulfillment operations.
Throughout The Program, You'll Gain Valuable Hands‑on Experience In
Software Development
Systems Integration
Large‑Scale Data Analysis — working with petabytes of data in a truly groundbreaking environment.
Your adventure starts at Apple's European Operations Headquarters in Cork, Ireland, where you'll work side by side with some of the brightest minds in the industry. Through a combination of on‑the‑job learning, mentorship, and formal training, you'll develop the skills to design and deliver scalable, user‑friendly systems and tools that make a real difference.
If you're technically strong, naturally curious, and energised by collaboration and complex challenges, this is the opportunity of a lifetime. We'd love to hear from you — apply today!
Description
This is an in‑person position located in Cork, Ireland with a start date in late summer, working on a small team within the larger SDS organization. With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers.
If you’re interested in being a part of a team that’s constantly learning and problem‑solving, we’d love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers in the design and implementation of systems and tools to support the enterprise decision automation and fraud prevention efforts of SDS.
Responsibilities
Contributing to the development and implementation of production software for preventing fraud
Learning and participating in system architecture design with guidance from senior engineers
Collaborating with external infrastructure teams to support the development of infrastructure needs
Identifying opportunities for automation and tooling improvements
Supporting the development and implementation of process improvements to bring efficiency and stability to fraud analytics
Collaborating with data scientists to support analytical software development
Participating in release engineering processes and best practices
Minimum Qualifications
Proficiency in one of Python, Java, Scala, C++, or an equivalent language
BS degree in Computer Science, Data Science, Mathematics, Engineering, BIS, a related field, or equivalent practical experience
Exposure to software engineering concepts through coursework, internships, personal projects, or bootcamps
Foundational understanding of data structures and algorithms
Preferred Qualifications
Internship or project experience in software engineering or data science
Familiarity with cloud‑based systems (e.g., AWS, GCP, Azure) or big data platforms (e.g., Hadoop, Spark)
Exposure to containerization tools such as Docker or Kubernetes
Familiarity with relational databases (e.g., SQL) and/or NoSQL databases
Understanding of the software development lifecycle (version control, code review, testing, deployment)
Strong problem‑solving, critical thinking, and communication skills
Eagerness to learn and apply new technologies
Self‑motivated, proactive, and solution‑oriented mindset
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