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Data Engineer (Snowflake/Microsoft Fabric), AI & Data, Technology Consulting

Ernst & Young Advisory Services Sdn Bhd

Singapore

On-site

SGD 70,000 - 90,000

Full time

Today
Be an early applicant

Job summary

A leading professional services firm in Singapore is seeking a Data Engineer to design and maintain data pipelines and collaborate with teams. Candidates should have at least 2 years of experience in data engineering, including cloud data migration. This role offers a flexible full-time schedule and a diverse work environment that promotes learning and innovation.

Benefits

Competitive remuneration package
Continuous learning
Flexible working arrangements
Diverse and inclusive culture

Qualifications

  • At least 2 years’ experience as a Data Engineer.
  • Experience in development and maintenance of data processing pipelines.
  • Data migration experience in cloud environments.

Responsibilities

  • Design, develop, and maintain scalable data pipelines.
  • Collaborate with data scientists and stakeholders.
  • Implement data quality checks and monitoring.

Skills

ETL
Data engineering
Scripting
Communication skills
Stakeholder management

Education

Degree in Computer Science, IT or Business Analytics

Tools

Snowflake
Microsoft Fabric
AWS
Azure
Hadoop
GCP
Tableau
Power BI
Job description

Location:

Other locations: Primary Location Only

Date: 22 Oct 2025

Requisition ID: 148926

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 business, people and the planet can thrive together.

We’re all 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, optimise and protect client organisations. 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 Data Engineers with experience in Snowflake or Microsoft Fabric to join the AI & Data team in our Singapore office. This role is offered on a flexible full‑time basis.

Your key responsibilities
  • Design, develop, and maintain scalable and efficient data pipelines to extract, transform and load (ETL) data from various sources into data warehouses and data lakes.
  • Collaborate with data scientists, data analysts and business stakeholders to understand data requirements and deliver high‑quality data solutions.
  • Implement data quality checks and monitoring to ensure data accuracy, consistency and reliability.
  • Optimise data pipelines for performance, scalability and cost‑efficiency.
  • Develop and maintain data models, schemas and metadata to support data analytics and reporting.
  • Work with either Snowflake or Microsoft Fabric.
  • Implement data security and privacy best practices to protect sensitive data.
  • Troubleshoot and resolve data‑related issues in a timely manner.
  • Stay up‑to‑date with the latest trends and best practices in data engineering and big data technologies.
Skills and attributes for success
  • Experience in ETL, data engineering, scripting.
  • Knowledge and experience in end‑to‑end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches).
  • Experience in a delivery role on business intelligence, data warehousing, big data or analytics projects.
  • Exceptional communication, documentation and presentation skills and stakeholder management experience.
  • Experience in business intelligence, data warehousing/platform and data strategy projects.
To qualify for the role, you must have
  • At least 2 years’ experience as a Data Engineer with development and maintenance support.
  • Data migration experience in AWS, Azure, Hadoop, GCP environments.
  • Experience in development and maintenance of data processing pipelines.
  • Experience developing machine‑learning workflows.
  • Experience in using Snowflake or Microsoft Fabric.
  • Work closely with business analysts to create data components.
Ideally, you’ll also have
  • Dashboarding experience with Tableau / Power BI.
  • Experience engaging with both technical and non‑technical stakeholders.
  • Consulting experience and background, including engaging directly with clients.
  • Degree in Computer Science, IT or Business Analytics.
What we look for
  • Highly motivated individuals with excellent problem‑solving skills and the ability to prioritise 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 organisation.
What working at EY offers

EY offers a competitive remuneration package 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. 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.
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, strategy and 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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