iTrent Systems Specialist

Newport

8 months ago

Applications closed

iTrent Systems Specialist (Fixed-Term Contract)

Location: Newport (Flexible Hybrid Working)
Contract: Fixed-term until 31st May 2026
Salary: £39,199 per annum + competitive benefits

Hoop Professional Services & HR are proud to be partnering with a highly regarded organisation in Newport, urgently seeking an iTrent Systems Specialist to join their People Services team. This role offers flexible hybrid working, with just two in-person connect days per month in Newport - and the potential for remote working for the right candidate.

This is a key role within an exciting HR systems transformation project, following a recent transformation. The successful candidate will play a pivotal part in the transition to iTrent as the preferred platform, working closely with the People Systems Lead to deliver critical projects including:

Data migration from legacy systems
System harmonisation and configuration
Implementation of new system modules
Development of enhanced self-service functionalitiesKey Responsibilities:

Lead the migration of employee data from legacy systems to iTrent
Configure system workflows, batch processing, and reporting functions
Manage technical aspects of system upgrades and module implementations
Develop enhanced system functionalities such as e-signatures and self-service sickness reporting
Troubleshoot system issues and provide technical support to the HR team
Support system readiness for the integration of colleagues from the recent mergerTo Succeed in This Role, You Will Bring:

Deep technical expertise in iTrent, including workflows, batch processing, upgrades, and data conversion
Proven experience delivering HR system data migration projects
Strong understanding of iTrent system backend functionality
Power BI experience is desirable but not essential
A proactive, solutions-focused approach to technical challenges
The ability to work independently and manage system projects to deadlinesWhat You Can Expect:

Flexible hybrid working - only two monthly connect days in Newport
Competitive benefits package including:
25 days annual leave (rising to 30 after three years)
Auto-enrolment pension scheme
Flexible working hours focused on output
The opportunity to play a critical role in a high-profile system transformation projectWe welcome applications from experienced iTrent specialists looking for an exciting, project-driven role.

To learn more, please contact Emmy Bevan directly. You won’t want to miss the opportunity to play a key part in this pivotal project.

Applications are being reviewed on a rolling basis due to the urgency of this appointment

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 10, 2026

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Jan 23, 2026

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.