Data Engineer & Manager, Data & AI

Ernst & Young Solutions LLP; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading consulting firm in Singapore is seeking a Data Engineer (Manager) to join their DnA team. This role involves designing and maintaining ETL pipelines, optimizing data workflows, and collaborating with various stakeholders to ensure data integrity. Ideal candidates should have 6-8 years of relevant experience, proficiency in SQL and Python, and familiarity with data orchestration tools such as Apache Airflow. The firm offers a competitive salary along with continuous learning opportunities and a diverse workplace culture.

Benefits

Competitive remuneration package

Continuous learning

Transformative leadership

Diverse and inclusive culture

Qualifications

• 6-8 years of experience in data engineering or related roles.
• Proficient in SQL, Python, or Scala for data processing.
• Hands-on experience with data warehouses such as Snowflake, BigQuery, or Redshift.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines for structured and unstructured data.
• Collaborate with data scientists and stakeholders to ensure data quality.
• Monitor job performance and implement automation for data operations.

Skills

Data engineering

SQL

Python

Data orchestration tools

Cloud platforms

Data warehouses

CI/CD

Education

Bachelor's or Master's degree in Computer Science

Tools

Apache Airflow

AWS

Azure

GCP

Job description

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 (Manager) 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

• 6-8 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.

Apply now.