EY GDS – Data and Analytics - D and A – Senior – Full stack

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in sectors like Banking, Insurance, Manufacturing, Government Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We’re looking for candidates with strong technology and data understanding in big data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Data engineering Lead (Full Stack experience)

• Work across investment technology stacks, engage directly with global stakeholders across investment, operations, products and wider technology teams and help drive technology solutions that support portfolio management and trading
• Drive full stack application development using modern technologies across cloud-native and hybrid architectures
• Own the production environment operations and applications

Required

• 3 - 7 years of software engineering experience with at least 3 years in a lead role
• Proven ability to led teams and drive cross-functional delivery in a matrix environment
• Strong command of full stack development: Javascript (React/Angular), Node.js or Java/.NET/ Python and SQL
• Hands-on experience with AWS architecture and services (Glue, Lambda, API gateway, IAM, S3, CloudWatch etc.)
• Prior experience working in the Asset Management, Investment Banking or Wealth Management.
  • Build and maintain CI/CD workflows for model and data pipeline deployment using GitHub Actions, Jenkins, and Terraform
  • Familiarity with Snowflake, Python and event driven architecture
  • Develop and monitor Grafana dashboards for real-time observability, latency tracking, and cost optimization
  • Integrate LLM APIs (e.g., OpenAI, Gemini) into data services and applications for prompt engineering and inference workflow
  • Familiarity with Snowflake, Python, Pyspark and event driven architecture s.
  • Experience with Vector Databases, Familiarity with Feast, Sagemaker, Azure ML pipelines.

Desirable

• Knowledge of front office platform and workflows: OMS, PMS and risk engines Aladdin, Charles River , others
• Experience with ETF platforms and fund lifecycle processes
• Exposure to regulatory reporting, ESG data pipelines or performance attribution systems

Ideally, you’ll also have

• Client management skills

What we look for

• Minimum 5 years of experience as Architect on Analytics solutions and around 2 years of experience with Snowflake.
• People with technical experience and enthusiasm to learn new things in this fast-moving environment

What working at EY offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you