Data Engineer, Associate/Senior Associate, Data & AI, Technology Consulting

Ernst & Young Advisory Services Sdn Bhd; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A leading company is seeking a Data Engineer to join their DnA team in Singapore. This role involves designing and maintaining data pipelines, collaborating with stakeholders, and ensuring data integrity. Ideal candidates will have experience in data engineering, proficiency in SQL and Python, and a relevant degree. The company offers a competitive package and a commitment to inclusive culture and continuous learning.

Benefits

Competitive remuneration package

Flexible working arrangements

Continuous learning opportunities

Transformative leadership

Diverse and inclusive culture

Qualifications

• 2–6 years of experience in data engineering or related roles.
• Experience working in consulting or client-facing environments.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines for structured and unstructured data.
• Collaborate with data scientists and analysts to ensure data quality.

Skills

SQL

Python

Scala

Problem-solving

Communication

Education

Bachelor’s or Master’s degree in Computer Science

Engineering

Tools

Apache Airflow

DBT

Luigi

AWS Glue

Azure Data Factory

GCP Dataflow

Snowflake

BigQuery

Redshift

Job description

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Location:

Other locations: Primary Location Only

Date: May 14, 2025

Requisition ID: 1607704

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 Data Engineer (Associate/Senior Associate) within the DnA team in our Singapore office. This role is offered on a full time basis.

Your key responsibilities

Design, build, and maintain efficient, reusable, and scalable ETL/ELT pipelines for structured and unstructured data.

Develop and optimize data workflows to support advanced analytics, machine learning models, and reporting tools.

Collaborate with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability

Work with cloud and on-prem data platforms (e.g., AWS, Azure, GCP, Hadoop, or on-prem SQL/NoSQL systems).

Ensure data integrity, governance, and security best practices across pipelines and data lakes/warehouses.

Troubleshoot and resolve data issues and performance bottlenecks in real-time and batch pipelines.

Monitor job performance and implement automation and alerting for data operations.

Contribute to documentation, code reviews, and development best practices.

Skills and attributes for success

2–6 years of experience in data engineering or related roles.

Proficient in SQL, Python, or Scala for data processing.

Experience with data orchestration tools like Apache Airflow, DBT, or Luigi.

Familiarity with cloud platforms (AWS Glue, Azure Data Factory, GCP Dataflow, etc.).

Hands-on experience with data warehouses such as Snowflake, BigQuery, or Redshift.

Understanding of data modeling, normalization, and data warehousing concepts.

Exposure to CI/CD, version control (Git), and agile development practices.

To qualify for the role, you must have

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Knowledge of streaming data frameworks (Kafka, Spark Streaming, Flink) is a plus.

Experience working in consulting or client-facing environments (for Senior Associate roles).

Certifications in AWS/Azure/GCP or specific data tools.

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’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

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.

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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.