The opportunity
EY AI & Data is the AI, data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.
We implement information-driven strategies and systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.
This role is offered on a flexible full time basis.
Your key responsibilities
- Work with diverse stakeholders to identify their challenges with data that can be addressed using various GenAI & AgenticAI and Analysis techniques.
- Be a part of a culture that focuses on delivering excellence for our clients and work with an awesome team of people to work with and access to cutting edge technologies.
- Flexibility to work in the way that brings out the best in you and encourages you to do what you love, in an environment that supports you.
- Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career.
Skills and attributes for success
- At least 5 years’ experience as Generative AI & Data engineer
- Experience with ETL tools (such as Informatica, Microsoft SSIS or Talend) or open source data integration tools (such as Kafka or Nifi)
- Experience in GenAI, RAG, Vector DBs and Agentic AI
- Knowledge and experience in end-to-end project delivery, agile delivery methodologies (or hybrid approaches)
- Exceptional communication, documentation and presentation skills
- Degree in Computer Science or IT or Business Analytics
Ideally, you’ll also have
- Experience in engaging with both technical and non-technical stakeholders
- Consulting experience and background, including engaging directly with clients
- Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
What we look for
- Experience in engaging with both technical and non-technical stakeholders
- Strong consulting experience and background, including engaging directly with clients
- Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects