At a Glance
- Tasks: Lead the design and implementation of cutting-edge data analytics platforms.
- Company: Join MUFG, a global leader in finance with a people-first culture.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make a real impact in data virtualisation and drive innovation in finance.
- Qualifications: 10+ years in data engineering, strong SQL skills, and cloud expertise required.
The predicted salary is between 70000 - 90000 £ per year.
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The Data Fabric team is part of the Data Engineering & Business Intelligence (DEBI) Department, which is part of the broader Architecture, Middleware, Data Engineering & Business Intelligence (AMD) pillar of Technology. Data Fabric is responsible for designing and developing enterprise-grade solutions that support Data Virtualisation. Its services are highly sought after across the firm, often collaborating with other departments, management, and the executive.
MAIN PURPOSE OF THE ROLE
The Lead Data Virtualisation Engineer in MUFG will lead the design, deployment, and adoption of the Starburst data analytics platform for the organization’s first implementation. This role requires deep technical experience in distributed SQL engines, data lakes, along with the ability to guide stakeholders through platform onboarding and production readiness. Creation of unified, real-time views of data from multiple sources - connecting to underlying systems to enable both agentic AI and users to access and integrate data as needed for analytics, reporting, and business intelligence. This implementation includes a significant research and development component, with close collaboration alongside the vendor to refine and evolve the product in line with emerging needs and capabilities.
KEY RESPONSIBILITIES
- Lead end-to-end implementation of Starburst (Trino-based) platform from initial setup through production rollout
- Serve as the Starburst subject matter expert, providing guidance and technical leadership
- Design and implement scalable query architecture across data lakes, warehouses, and enterprise data sources
- Deploy and configure Starburst Enterprise, including Trino cluster setup and tuning
- Integrate multiple data sources i.e. Snowflake, databases, etc.
- Implement security, authentication, and authorization aligned with enterprise standards
- Optimize query performance, concurrency, and resource utilization
- Establish monitoring, alerting, and operational best practices
- Collaborate with cloud and platform teams to ensure high availability, scalability, and reliability
- Prepare relevant documentation
- Speed up adoption of AI
- Improve data governance
- Improve time-to-market of data products
WORK EXPERIENCE
Essential:
- 10+ years of experience in data engineering, analytics platforms, or distributed systems
- Hands-on experience with Starburst, Trino, or Presto
- Strong background in cloud engineering (AWS/Azure/GCP) and Kubernetes
- Proficiency in SQL, data lakes, object storage, and distributed query optimisation
- Good understanding of data security, governance, and access controls
Preferred:
- Prior experience leading first-time platform implementations
- Experience migrating to Starburst
- Familiarity with BI, data engineering, enterprise analytics use cases (Power BI, dbt, Python, Spark)
- Strong communication and stakeholder management skills
SKILLS AND EXPERIENCE
Functional / Technical Competencies:
- Technical leadership and ownership
- Architecture and problem-solving mindset
- Ability to work independently in ambiguous environments
- Strong documentation and knowledge-sharing skills
- Strong understanding of AI fundamentals, Large Language Models (LLMs), and agentic AI architectures, with the ability to leverage modern data platforms, governance, and data products to enable successful AI outcomes.
Education / Qualifications:
- Bachelor’s degree in computer science, Engineering, or related field, or equivalent experience
- Cloud certifications (Azure/AWS/GCP).
PERSONAL REQUIREMENTS
- Excellent communication skills
- Results driven, with a strong sense of accountability
- A proactive, motivated approach.
- The ability to operate with urgency and prioritise work accordingly
- Strong decision-making skills, the ability to demonstrate sound judgement
- A structured and logical approach to work
- Strong problem-solving skills
- A creative and innovative approach to work
- Excellent interpersonal skills
- The ability to manage large workloads and tight deadlines
- Excellent attention to detail and accuracy
- A calm approach, with the ability to perform well in a pressurised environment
- Strong numerical skills
We are open to considering flexible working requests in line with organisational requirements. MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership. We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
Assistant Vice President,Data Virtualisation Lead in London employer: MUFG
Mitsubishi UFJ Financial Group (MUFG) is an exceptional employer, offering a dynamic work environment in the heart of London where employees can thrive in their careers. With a strong commitment to diversity and inclusion, MUFG fosters a culture that values collaboration and innovation, providing ample opportunities for professional growth and development. Employees benefit from comprehensive support in managing complex loan operations, ensuring they are equipped with the skills and knowledge needed to excel in their roles while contributing to meaningful financial solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Vice President,Data Virtualisation Lead in London
✨Tap into Campus Networks
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Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
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We think you need these skills to ace Assistant Vice President,Data Virtualisation Lead in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to MUFG.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on MUFG's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at MUFG
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with MUFG.
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✨Network with Industry Professionals
Before your interview, reach out to current or former MUFG employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
