Data Platform Lead: Analytics, Pipelines & Insights

Data Platform Lead: Analytics, Pipelines & Insights

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Vida Bank

At a Glance

  • Tasks: Lead a team to design data models and build pipelines for impactful insights.
  • Company: Vida Bank, a forward-thinking financial institution in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a collaborative team focused on innovation and excellence.
  • Why this job: Shape the future of data-driven success in a dynamic banking environment.
  • Qualifications: Experience in data engineering and leadership skills are essential.

The predicted salary is between 60000 - 80000 £ per year.

Vida Bank in London is seeking a Lead Data Engineer to shape how data drives commercial success. You will lead a small team, own data model design and data pipelines, and collaborate with stakeholders to deliver trusted datasets and insights.

You will establish engineering standards, mentor engineers, and advance Vida’s data platform across the data lake/warehouse stack, enabling robust analytics and regulatory reporting.

Data Platform Lead: Analytics, Pipelines & Insights employer: Vida Bank

Vida Bank is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the CFO Office. Employees benefit from a comprehensive package that includes competitive salaries, professional development opportunities, and a supportive environment that encourages growth in the fast-paced banking sector. Joining Vida Bank means being part of a team that values efficiency and governance while providing meaningful contributions to the financial services landscape.

Vida Bank

Contact Details:

Vida Bank Recruitment Team

We think you need these skills to ace Data Platform Lead: Analytics, Pipelines & Insights

Communication Skills
SQL
Python
Problem-Solving Skills
Data Pipeline Development
Data Engineering
API Integration