Back
Tier-1 brand, metro locations, mid-level data engineer role with broad cloud and AI requirements.
Requires financial-services domain knowledge and regulated workflows, reducing cross-industry transferability.
Explicit 5+ years, mandatory database/cloud expertise and financial domain controls make screening stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and operate database engineering solutions across relational, distributed, and cloud data platforms supporting investment banking and capital markets domains.
Lead technical direction and coordinate delivery across global agile teams, promoting AI-assisted engineering practices for improved code quality and operational outcomes.
Contribute to architecture review boards, engineering standards, and regulatory compliance within the Commercial & Investment Bank's Sales & Research Technology team.
5+ years applied experience in software engineering, with formal training or certification in software engineering concepts.
Strong experience in database engineering, architecture, and data platform modernization across cloud platforms such as AWS, Azure, Snowflake, or Databricks.
Proven use of enterprise-authorized AI-assisted software development tools including coding, code review, and test acceleration.
Experience in financial services domains such as investment banking, capital markets, loan systems, risk, analytics, or regulatory compliance.
Experienced in leading technology delivery and governance across multiple global teams in agile environments.
Skilled in integrating large-scale data systems and cloud platforms with enterprise applications and AI-enabled services.
Familiar with AI-assisted development, responsible AI usage, secure software development lifecycle practices, and compliance in financial services technology.