2 of 2 Data Engineering Jobs in Northern Ireland

We'll provide the platform to succeed. Sound good? Check out the details below! Experience and skills we need: In-depth knowledge and experience in multiple aspects of Software Engineering, with a particular focus on enterprise scale, cloud native solutions. Knowledge and exposure to modern software and cloud architectures, with experience in designing and leading the build of enterprise … working in partnership with business stakeholders, defining technology strategies and building solutions to meet their business needs utilising a product mindset. Extensive leadership, coaching and mentoring experience, including implementing engineering excellence best practises across multiple teams. Demonstrable experience designing and building AI-based solutions and/or AI platforms at scale. Familiarity with AI/ML tools, frameworks, and … platforms (e.g., TensorFlow, PyTorch, ML Flow, Data Bricks Azure/AWS/GCP AI services). Track record of delivering production-grade AI applications or integrating AI capabilities into existing platforms. Demonstrable understanding of data governance, ethical AI, model explainability, and privacy concerns (e.g., GDPR) in designing AI solutions Experience in the establishment of or monitoring, retraining, and More ❯

fraud detection, real-time transaction processing, and AI-driven innovation - all within a collaborative environment that values talent, impact, and technical excellence. Why This Role? High-scale, high-availability engineering at its best Java is our first choice - but we welcome all object-oriented developers Hands-on leadership shaping team, product, and tech direction Rare opportunity to build the … and Spring Boot Architect and implement microservices and RESTful APIs with a cloud-native mindset Champion best practices in CI/CD, testing, and DevOps pipelines Mentor and grow engineering talent, setting the bar for clean, scalable code Work cross-functionally in agile teams to solve complex real-world problems Drive innovation in fraud analytics, data engineering … Proven experience in Java or a similar OOP stack (e.g., C#, Kotlin, Scala) Strong grasp of REST APIs, microservices, and containerisation (Docker/Kubernetes) Agile mindset with strong software engineering fundamentals Passion for innovation, learning, and leading by example Familiarity with DevOps tools (Git, Maven, Jenkins, CI/CD) Excellent communication and teamwork skills Bonus Points For Experience in More ❯