AWS Engineer - Senior Associate, AI & Data, Technology Consulting

Ernst & Young Advisory Services Sdn Bhd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

EY AI & Data is seeking an AWS Data Engineer to design, build, and maintain scalable data pipelines and analytics platforms on Amazon Web Services. You will transform raw data into analytics-ready datasets to support reporting and advanced analytics use cases.

Join a diverse, inclusive team in EY Asia-Pacific, delivering end-to-end data environments with architects, data scientists, and engineers to help clients grow, optimize, and protect their data assets.

Qualifications

• 3+ years of experience in data engineering on AWS
• Bachelor's degree in computer science, engineering, or related field
• Strong experience with AWS data services (S3, Glue, Athena, Redshift)
• Proficiency in SQL and Python
• Experience building and maintaining production data pipelines
• Understanding of data modelling (star/snowflake schemas)

Responsibilities

• Design and develop end-to-end data pipelines (batch and near-real-time)
• Ingest data from multiple sources (databases, APIs, applications)
• Transform, clean, and curate data for analytics and reporting use cases
• Build and manage data lakes and warehouses using S3, Glue, Athena, Redshift
• Develop ETL/ELT workflows using Glue, Lambda, and orchestration tools
• Ensure data quality, reliability, and scalability of pipelines
• Monitor data jobs and resolve failures proactively
• Support encryption, data lineage, and governance standards
• Collaborate with Data Analysts and Data Scientists to support ML needs
• Collaborate with Cloud/Platform Engineers on infrastructure best practices

Skills

Data engineering

SQL

Python

AWS cloud

Education

Bachelor's degree in computer science/engineering or related field

Tools

S3

Glue

Athena

Redshift

Kinesis

Kafka

Airflow

Terraform

CloudFormation

Power BI

Tableau

QuickSight

Job description

AWS Engineer - Senior Associate, AI & Data, Technology Consulting

Location:

Other locations: Primary Location Only

Date: 31 Aug 2026

Requisition ID: 1684055

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that businesses,peopleand the planet can thrive together.

We’reall in, are you?

Join EY and shape your future with confidence.

About the opportunity

EY AI & Data 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 seeking an AWS Data Engineer to design, build, andmaintainscalable data pipelines and analytics platforms on Amazon Web Services. This role focuses on transforming raw data into trusted, analytics-ready datasets to support reporting, insights, and advanced analytics use cases.

Your key responsibilities

• Design and develop end-to-end data pipelines (batch and near-real-time)
• Ingest data from multiple sources (databases, APIs, applications, third-party systems)
• Transform, clean, and curate data for analytics and reporting use cases
• Build and manage data lakes and warehouses using S3, Glue, Athena, Redshift
• Develop ETL/ELT workflows using Glue, Lambda, and orchestration tools
• Ensure data quality, reliability, and scalability of pipelines
• Optimizedata models, partitioning, and query performance
• Improve pipeline efficiency and manage cloud cost usage
• Monitor data jobs and resolve failures proactively
• Support encryption, data lineage, and governance standards
• Ensure compliance with data protection and regulatory requirements
• Work closely with Data Analysts to deliver analytics-ready datasets
• Partner with Data Scientists to support ML and advanced analytics needs
• Collaborate with Cloud/Platform Engineers on infrastructure best practices

To qualify for the role, you must have

• Minimally 3years' experiencein data engineering (AWS)
• Bachelor's degree in computer science, Engineering, or related field
• Strong experience with AWS data services (S3, Glue, Athena, Redshift)
• Proficiencyin SQL and Python
• Experience building andmaintainingproduction data pipelines
• Understanding of data modelling (star/snowflake schemas)

Ideally,you’llalso have

• Streaming experience (Kinesis, Kafka)
• Workflow orchestration (Airflow, Step Functions)
• Infrastructure as Code (Terraform / CloudFormation
• Exposure to BI tools (Power BI, Tableau,QuickSight)

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.

An effective communicator,you’llbe a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What working at EY offers

EY offers a competitiveremunerationpackage whereyou’llbe rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:

Continuous learning:

You’lldevelop the mindset and skills to navigate whatever comes next.

Success as defined by you:

We’llprovide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership:

We’llgive you the insights,coachingand confidence to be the leader the world needs.

Diverse and inclusive culture

You’llbe embraced for who you are and empowered to use your voice to help others find theirs.

Company description

EY is building a better working world by creating new value for clients, people, society, and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax,strategyand transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.