At a Glance
- Tasks: Design and support enterprise integration solutions on IBM z/OS, collaborating with global teams.
- Company: Join NTT DATA, a leading tech services provider with a focus on innovation.
- Benefits: Enjoy competitive salary, comprehensive benefits, and a hybrid work model.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make an impact in the tech world while working with cutting-edge integration technologies.
- Qualifications: Experience with IBM z/OS, CICS, DB2, and strong problem-solving skills required.
The predicted salary is between 63000 - 77000 £ per year.
At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.
NTT DATA is currently looking for an IBM z/OS Integration Consultant for our growing team in the UK.
Role overview
As an IBM z/OS Integration Engineer, you will design, configure, and support enterprise integration solutions that connect distributed applications with core banking services running on IBM z/OS. Leveraging integration middleware and technologies such as IBM MQ, CICS, DB2, and API-enabled services, you will deliver secure, resilient, and high-performing integration solutions that meet business and technical requirements. Working within a global engineering team, you will contribute to modern API-driven integration strategies, troubleshoot complex issues, and drive continuous improvements across enterprise integration platforms.
In this Role, You will
- Design, build, and support enterprise integration solutions across IBM z/OS environments.
- Configure, maintain, and optimize integration middleware supporting business-critical services.
- Deliver secure, scalable, and resilient integration solutions that meet functional and non-functional requirements.
- Collaborate with application teams, architects, and infrastructure teams to define integration designs and technical solutions.
- Implement and support API-based integrations between distributed systems and mainframe applications.
- Investigate and resolve complex production incidents and integration issues.
- Analyse application flows and troubleshoot end-to-end integration challenges.
- Produce technical documentation, solution designs, and operational support procedures.
- Support modernization initiatives and continuous improvement of enterprise integration platforms and engineering standards.
Required Qualifications
- Strong experience developing or supporting applications on IBM z/OS.
- Good understanding of CICS, DB2 and COBOL.
- Hands-on experience with IBM MQ messaging.
- Knowledge of REST APIs, enterprise integration principles, and API integration frameworks such as z/OS Connect EE.
- Understanding of synchronous and asynchronous integration patterns.
- Experience implementing secure and resilient integrations between distributed and mainframe applications.
- Experience with source management and service management tools such as Endevor, Jira, and ServiceNow (SNOW).
- Strong troubleshooting, analytical, and problem-solving skills.
- Excellent written and verbal communication abilities.
Desired Qualifications
- Experience with monitoring and diagnostic tools such as OMEGAMON, Fault Analyzer, and dump analysis.
- Knowledge of workload scheduling tools such as TWS (Tivoli Workload Scheduler).
- Experience working in Agile delivery environments.
- Banking or Financial Services industry experience.
- Exposure to enterprise architecture, integration governance, and API management platforms.
- Mainframe modernization and cloud integration experience would be advantageous.
Job Expectations
- Ensure the stability, security, and performance of enterprise integration services.
- Collaborate effectively with globally distributed engineering and application teams.
- Follow enterprise architecture, security, and operational standards.
- Participate in incident, problem, and change management processes.
- Deliver high-quality technical documentation and support artifacts.
- Drive continuous improvements in integration engineering practices and platform capabilities.
- Support business-critical services with a strong focus on availability and resilience.
Work model
Hybrid work model (Sheffield/remote) preferred.
Benefits
Our people are the most critical component of our long-term success and their health and wellbeing are our priority. You will enjoy a comprehensive, locally competitive benefits package.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centres and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
IBM z/OS Integration Consultant employer: NTT DATA
At NTT DATA, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity in the rapidly evolving field of AI/ML security. Located in a vibrant tech hub, we offer competitive benefits and a dynamic workplace where your contributions directly impact the future of secure AI systems.
