Software Engineer II (R-19394)

The Software Engineer II is responsible for designing, developing, and delivering scalable data platform solutions that support high-performance data processing and analytics capabilities. This role operates with increased autonomy, contributing to system design, driving delivery of platform capabilities, and ensuring the reliability and scalability of the Dun & Bradstreet data ecosystem.

The role plays a key part in modernizing and optimizing data platforms, including identity resolution and Match systems, to meet growing business demands.

What’s on Offer at D&B Ireland

• 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)
• Holiday buy & sell (the option to buy or sell up to 5 additional days per year)
• Flexible working - hybrid model
• Employee Health Insurance
• Mental Health Support program
• Pension Contribution
• Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)
• Life Assurance
• Educational Assistance Program
• Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities)

At Dun & Bradstreet, we are 6,000 friendly colleagues around the world waiting to meet you and give you the opportunity to grow your career.

Responsibilities:

• Design, develop, test, deploy, and monitor scalable applications for data ingestion, mastering, matching, and publishing
• Develop high-quality software using Java and Python, ensuring performance, maintainability, extensibility, and reliability.
• Deliver end-to-end features across the software stack, operating with ownership of assigned components.
• Build and maintain microservices and REST APIs, including real-time and streaming data capabilities.
• Collaborate with solution architects and partner with lead architects to contribute to system design, reference architectures, and baseline implementations.
• Contribute to platform modernization by simplifying, harmonizing, and optimizing systems to improve scalability and performance.
• Validate solutions through proofs of concept and prototyping prior to full implementation.
• Develop and optimize large-scale distributed data systems using modern frameworks (e.g., Spark, Hadoop, distributed processing technologies).
• Collaborate with Data Science teams to implement advanced algorithms, models, and proprietary capabilities into production systems.
• Ensure high availability, resilience, and performance of critical data processing systems (e.g., identity resolution/Match platforms).
• Work cross-functionally with business stakeholders, QA, DevOps, and product teams to align technical solutions with business objectives.
• Ensure code quality through testing, peer reviews, and adherence to development standards.
• Contribute to CI/CD pipelines, automation, and modern engineering practices.
• Troubleshoot and resolve complex production issues using strong root cause analysis skills.

• Ensure compliance with data governance, information security, and regulatory standards.

Essential Skills and/or certifications:

• Bachelor’s degree in Computer Science or related areas
• At least 5 years of experience developing commercial software
• Strong proficiency in Java and Python with solid object-oriented design principles
• Experience building large-scale distributed systems and data platforms
• Expertise in big data frameworks (e.g., Hadoop, Spark, EMR, Dataproc)
• Advanced SQL and data modeling knowledge
• Experience developing cloud-native solutions (AWS, GCP, or equivalent)
• Experience with CI/CD pipelines, automated testing frameworks, and monitoring tools
• Knowledge of microservices architecture and high-availability systems
• Strong problem-solving and root cause analysis capabilities
• Ability to work independently while collaborating in cross-functional teams
• Strong communication and stakeholder management skills
• Proficiency in Microsoft Office Suite skills
• Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.