At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and 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.

We are looking for a SAS Data Engineer to join our Consulting practice, supporting clients across data transformation, regulatory, and analytics initiatives.

In this role, you will work in a client-facing environment, delivering end-to-end data solutions using SAS and modern data platforms. You will be expected to combine strong technical capabilities with structured problem solving, stakeholder engagement, and delivery discipline.

Your key responsibilities

Deliver end-to-end data engineering solutions using SAS across client engagements
Design and develop ETL pipelines and data workflows using Base SAS, SAS DI Studio, or SAS Viya
Work closely with business and technical stakeholders to gather requirements and translate into scalable data solutions
Perform data transformation, validation, and reconciliation to ensure high data quality
Optimize SAS programs for performance and efficiency in enterprise environments
Support integration with data warehouses, cloud platforms, and downstream analytics tools
Participate in client workshops, discussions, and presentations where required
Contribute to project delivery timelines, documentation, and governance standards
Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
Visualise, interpret, and report data findings and may create dynamic data reports as well.
Collaborate with cross-functional teams including data architects, analysts, and client teams

Skills and attributes for success

Associates (1-2 years)

Foundational experience in SAS (Base SAS, Macros, SQL)
Understanding of ETL concepts and data lifecycle
Exposure to relational databases (e.g., Oracle, SQL Server, Teradata)
Strong analytical thinking and structured problem-solving skills
Good communication skills with ability to work in a team-based, client environment

Senior Associate (3-6 years)

Proven experience delivering data engineering solutions using SAS in enterprise environments
Strong hands-on experience with SAS DI Studio / SAS Viya / SAS Grid
Proficiency in complex SQL, performance tuning, and large-scale data processing
Experience working in client-facing roles or consulting engagements
Ability to manage workstreams, prioritize deliverables, and communicate with stakeholders
Exposure to cloud platforms (AWS, Azure, GCP) or modern data tools (e.g., Snowflake, Databricks) is advantageous

To qualify for the role you must have

Degree in Computer Science, Information Systems, Engineering, or related field
Experience with Consulting/Professional Services industry

Ideally, you'll also have

Ability to work in fast-paced, project-based environments
Strong stakeholder management and communication skills
Comfortable with ambiguity and evolving client requirements
Focus on delivery quality, timelines, and outcomes
Collaborative mindset with ability to work across business and technical teams

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you'll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It's yours to build.

Apply now.

SAS Data Engineer, Associate/Senior Associate, Data & Analytics, Technology Consulting