National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Manager, Data Engineering, Data & Analytics, Assurance, Belfast

EY
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Science Manager - UK Remote Working

Data Science Manager

Data Science Manager

Lecturer in Data Science and Analytics

Product Lead - AI/Data Science


Data Analytics at EY 

Data Analytics is one of the most exciting fields in today’s digital world. It offers challenging work, career development and great job satisfaction. EY’s mission is to build a better working world by asking better questions and finding better answers – this is what Data Analytics is all about. What better way to help us achieve our mission than by working with our Data Science teams as we continue on this journey.

Data Analytics is one of our strategic growth platforms with plans to grow from 200 people today to over 300 in the next 2-3 years. We are transforming our business by embedding analytics in everything we do. We are helping our clients transform their businesses by doing the same, across industry sectors and lines of business. We are growing and so are our people. We are hiring managers, experienced professionals and graduates to work in a variety of roles. 

Apply today… 

Manager

Who are we?
At EY our purpose is to Build a Better Working World. We believe that the highest-performing teams maximize the power of different perspectives and backgrounds. It is important that these teams are both diverse and inclusive and are willing to learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and operations is fundamental in driving innovation, building strong relationships and delivering the best solutions for our clients.

The Opportunity
In response to strong market demand, we are seeking additional individuals to enhance our existing team. This is a fantastic opportunity to contribute to the Data Analytics team who are not only changing how we deliver services to our clients but are also committed to creating a diverse environment where EY people are valued, where they feel they belong and can contribute their best in every encounter. 

Your Role and Responsibilities

Helping clients unlock value from their information assets through collaboration with domain experts and by embedding innovative data analytics solutions in existing services lines  Leading diverse teams with varying skillsets, who use different Data and Analytics technologies.  Ability to adapt your leadership style to fit team, client and cultural needs Working in multi-disciplinary teams across a range of industries helping our clients, using our analytics to transform and improve their business A passion to contribute to the growth of the team, bringing energy, enthusiasm, and the courage to lead and develop others Drawing on your knowledge and experience, driving innovative insights which will add value to both our clients and to the broader society,  Contributing to the development of the wider Data & Analytics team’s future by building our brand, attending relevant events, collaborating with other internal teams, etc With guidance from partners, directors, and senior managers, you’ll identify and act on potential business opportunities for EY

Skills and attributes for success 

The following list provides examples of skills and attributes that would help you be successful in the Data and Analytics team at EY 

Relevant experience in consulting or industry with proven management experience Demonstrate the ability to supervise and develop others, effectively communicate, budgets, managing client expectations, delivering quality projects, timelines, etc. Ability to communicate technical information to non-technical colleagues and clients Ambition to continuously develop your skills and abilities Analytically minded and have the ability to assimilate and apply new techniques and knowledge, to deliver insights and solve problems  Professional with ability to work in diverse, evolving, and dynamic client environments Experience in all aspects of the data lifecycle, for example: Data Strategy Data Manipulation and ETL Master Data Management Data Models and Visualization A completed degree (bachelors, masters, or PhD)

What we offer
We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.

Continuous learning:

You’ll develop the mindset and skills to navigate whatever comes next. • As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are. 

Success as defined by you:

We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. • We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees 

Transformative leadership:

We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture:

Diversity is about differences. You’ll be embraced for who you are and empowered to use your voice to help others find theirs. CIPD 2020 Diversity and Inclusion Winner, GreatPlaceToWork’s Top 20 UK’s Best Workplaces for Women 2020 (Super Large Category) And Times Top 50 Employers for Women 2019 & 2020 

 
To hear stories from professionals within our business around their experience, career advice and progression, and belonging and flexibility please visit us here 

National AI Awards 2025

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.