At a Glance
- Tasks: Lead data engineering solutions and mentor a high-performing team in Financial Services.
- Company: Join EY's innovative AI & Data Consulting practice in Belfast.
- Benefits: Enjoy flexible working, career development, and support from engaging colleagues.
- Other info: Be part of a diverse team committed to building a better working world.
- Why this job: Make a real impact on clients' businesses while advancing your own career.
- Qualifications: Proven track record in Databricks transformations and strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
The EY Financial Services AI & Data Consulting practice is investing in a new, scaled Belfast team to develop unique advisory propositions aligned to fast evolving market needs and demand. We are currently looking for an exceptional Senior Manager to lead on developing our Data Engineering solutions for this team with an initial focus on Databricks. This senior role requires an individual with an exceptional track record of delivering data transformation programs and building high‑performing teams in Financial Services. Joining the Belfast EY AI & Data team in this exciting period of growth offers a huge variety of opportunities to make a tangible impact on clients’ businesses, develop junior colleagues, and advance your own career.
Responsibilities
- Provide technical leadership and mentoring to data engineers and analysts across Financial Services domains such as Risk, Trading, and Compliance.
- Lead the design and implementation of scalable data architecture solutions using Databricks on Azure.
- Architect and optimise data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance.
- Stand up and operationalise Databricks platforms, including workspace setup, cluster configuration, and CI/CD integration.
- Lead and execute large‑scale lift‑and‑shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity.
- Drive adoption of Delta Lake, Apache Spark, and MLflow for advanced analytics and machine learning use cases.
- Lead performance tuning, cost optimisation, and security hardening of Databricks on Azure.
- Establish best practices for data governance, lineage, and metadata management within the Databricks environment.
- Translate business needs into robust data products that support real‑time decision‑making and predictive modelling.
- Collaborate with cross‑functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II).
- Business development, including development of long‑term trusted advisor relationships with clients, support for RFP responses, and issuance of thought leadership to the market.
Qualifications
- A track record of delivering large Databricks data transformations and appropriate Databricks industry certifications.
- Deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs.
- Experience building high‑performing teams and exceptional leadership and interpersonal skills.
- Deep understanding of emerging technology trends, including cloud‑based and next‑generation data technologies, with a clear perspective on market direction.
- Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects, and deliver high quality and risk‑managed outcomes.
- Ability to engage with senior stakeholders and manage large cross‑functional projects.
- Intellectual strength and flexibility to rapidly understand complex problems and rationalise them into workable solutions that can then be delivered.
- Exceptional storytelling, communication, presentation, business writing and professional skills, including liaising with both technical and business contacts at clients.
- Previous consulting experience will be greatly valued.
- A university degree, 2:1 (or equivalent) or above is usually preferred, although outstanding candidates following an alternative academic path may also be considered.
What we look for
We are looking for highly motivated individuals who are passionate about AI, Data, and Analytics and want to help clients become truly data‑driven organisations. If you can meet the challenges of a focused consulting organisation, understand how to build, grow and lead in a large practice, and work in the most complex of sectors, the EY AI & Data team is looking forward to hearing from you.
Benefits
- Support, coaching and feedback from some of the most engaging colleagues around.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that’s right for you.
EEO Statement
EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service while allowing you to build your career without sacrificing your personal priorities. While our client‑facing professionals may be required to travel regularly and sometimes be based at client sites, our flexible working arrangements can help you achieve a lifestyle balance.
Prior to finalising your application, we will ask you to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to analyze our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world.
Senior Manager - AI & Data, Databricks, Financial Services, Belfast employer: EY UK
EY is an exceptional employer that fosters a dynamic and inclusive work culture, particularly within its growing AI & Data Consulting practice in Belfast. Employees benefit from comprehensive support, coaching, and opportunities for career advancement, all while enjoying the flexibility to balance their professional and personal lives. Joining EY means being part of a team that values innovation and collaboration, allowing you to make a significant impact in the Financial Services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager - AI & Data, Databricks, Financial Services, Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the Financial Services sector and let them know you're on the lookout for opportunities. A friendly chat can lead to insider info about openings or even referrals.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your past successes with Databricks and data transformations. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for senior roles in AI and Data, and practice your responses. Be ready to discuss how you've led teams and delivered projects in the past—this is your time to shine!
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team at EY, which can set you apart from other candidates.
We think you need these skills to ace Senior Manager - AI & Data, Databricks, Financial Services, Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Manager role. Highlight your experience with Databricks and data transformation in Financial Services. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit. Share specific examples of your leadership in data engineering and how you've driven successful projects. Let your passion for AI and Data shine through!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics to demonstrate how you’ve made an impact in previous roles. We love seeing quantifiable results that highlight your capabilities.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at EY UK
✨Know Your Databricks Inside Out
Make sure you’re well-versed in Databricks and its applications in financial services. Brush up on your knowledge of data architecture, Delta Lake, and Apache Spark. Being able to discuss specific projects where you've implemented these technologies will show your expertise.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead high-performing teams. Prepare examples of how you've mentored data engineers or analysts in the past, and be ready to discuss your approach to building strong team dynamics.
✨Understand Financial Regulations
Familiarise yourself with key financial regulations like GDPR, Basel III, and MiFID II. Be prepared to discuss how you’ve ensured compliance in previous roles, as this will be crucial for the position you're applying for.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about complex data transformation challenges you've faced and how you overcame them. This will help you illustrate your intellectual strength and flexibility in real-world situations.