AVP, Data Engineering Lead – AI & Analytics

AVP, Data Engineering Lead – AI & Analytics

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
M

At a Glance

  • Tasks: Lead the design and delivery of innovative data solutions across international units.
  • Company: Join MUFG, a global leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
  • Other info: Collaborative culture with opportunities for mentorship and growth.
  • Why this job: Shape the future of data engineering and make a significant impact in finance.
  • Qualifications: Experience in data engineering and strong leadership skills required.

The predicted salary is between 50000 - 70000 Β£ per year.

MUFG in London seeks an Assistant Vice President, Data Technical Lead to architect and deliver enterprise data solutions across MUFG’s international units.

You will lead EDM development, mentor engineers, and drive automation and innovation in data platforms.

You will collaborate with BAU teams and stakeholders to ensure high-quality delivery aligned with architectural standards and security requirements.

#J-18808-Ljbffr

AVP, Data Engineering Lead – AI & Analytics 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.

M

Contact Details:

MUFG Recruitment Team

We think you need these skills to ace AVP, Data Engineering Lead – AI & Analytics

Communication Skills
SQL
Problem-Solving Skills
Data Pipeline Development
Python
Attention to Detail
Data Engineering