At a Glance
- Tasks: Lead the design and deployment of a cutting-edge data analytics platform.
- Company: Join MUFG, a forward-thinking financial institution committed to innovation.
- Benefits: Flexible working options, competitive salary, and a diverse, inclusive culture.
- Other info: Collaborate with top talent in a dynamic environment focused on growth.
- Why this job: Make a real impact by shaping the future of data analytics in finance.
- Qualifications: 10+ years in data engineering with expertise in Starburst and cloud platforms.
The predicted salary is between 80000 - 100000 £ per year.
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
- Essential: 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.
At MUFG, our colleagues are our greatest assets.
Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative.
They reflect who we are, who we want to be and what we expect from one another.
We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
Our Culture Principles Client Centric People Focused Listen Up.
Speak Up.
- Innovate & Simplify Own & Execute
- #J-18808-Ljbffr
Assistant Vice President, Data Virtualisation Lead in London employer: MUFG - United Kingdom (BTMU)
MUFG is an exceptional employer that fosters a collaborative culture and prioritises professional development for its employees. Based in the vibrant city of London, the company offers flexible working arrangements and opportunities to engage with diverse asset classes, making it an ideal place for those looking to grow their careers in structured finance while enjoying a supportive work environment.
Contact Details:
MUFG - United Kingdom (BTMU) Recruitment Team
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