Data Engineer (Senior Associate), Technology Consulting

Ernst & Young Solutions LLP; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Databricks experience

Snowflake experience

Power BI experience

Azure cloud experience

Job summary

EY is seeking a Data Engineer in Singapore to design, develop, and optimize scalable data solutions across cloud platforms. You will work with stakeholders to build reliable data pipelines that enable insights and enterprise data transformations.

You’ll develop and optimize data models and workflows using Python and SQL, collaborating with analytics and reporting teams to meet data requirements and deliver effective solutions.

Qualifications

• Degree in Computer Science, Engineering, or related field.
• Experience in data engineering, data integration, or data warehousing.
• Hands-on experience with Azure Synapse Analytics and Azure Data Factory.
• Proficiency in Python and SQL.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience engaging stakeholders to translate business needs into technical solutions.
• Understanding of data modelling and cloud-based data platforms.
• Strong written and verbal communication with technical and non-technical stakeholders.
• Experience in business analysis and process documentation.

Responsibilities

• Design, build, and maintain scalable data pipelines across cloud data platforms.
• Develop data models, transformations, and workflows using Python and SQL.
• Collaborate with business stakeholders, analytics teams, and reporting teams to deliver data solutions.
• Translate business requirements into technical specifications and data engineering solutions.
• Ensure data is structured and accessible for analytics, reporting, and downstream consumption.
• Monitor, troubleshoot, and improve performance, reliability, and scalability of pipelines and storage.
• Contribute to data quality, governance, and engineering best practices.
• Support or lead requirements gathering, stakeholder engagement, and process documentation activities

Skills

Stakeholder engagement

Communication skills

Requirements gathering

Process documentation

Data modelling knowledge

Education

Bachelor's or Master's in Computer Science, Engineering, or related field

Tools

Azure Synapse Analytics

Azure Data Factory

Python

SQL

ETL/ELT pipelines

Databricks

Snowflake

Power BI

Job description

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.

The opportunity

We are seeking Data Engineers to design, develop, and optimize scalable data solutions across cloud platforms. Successful candidates will work closely with business and technical stakeholders to build reliable data pipelines, enable data-driven insights, and support enterprise data transformation initiatives.

Your key responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes across cloud data platforms.

• Develop and optimize data models, transformations, and workflows using Python and SQL.

• Collaborate with business stakeholders, analytics teams, and reporting teams to understand data requirements and deliver effective data solutions.

• Translate business requirements into technical specifications and data engineering solutions.

• Ensure data is structured and accessible for analytics, reporting, and downstream consumption.

• Monitor, troubleshoot, and improve the performance, reliability, and scalability of data pipelines and storage solutions.

• Contribute to data quality, governance, and engineering best practices.

• Support or lead requirements gathering, stakeholder engagement, and process documentation activities

To qualify for the role, you must have

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

• Experience in data engineering, data integration, data warehousing, or related disciplines.

• Hands‑on experience withAzure Synapse Analytics and Azure Data Factory (ADF).

• Proficiency inPython and SQL.

• Experience designing, building, and maintaining ETL/ELT data pipelines.

• Experience engaging stakeholders to gather requirements and translate business needs into technical solutions.

• Understanding of data modelling and cloud-based data platforms.

• Strong written and verbal communication skills, with the ability to engage effectively with technical and non-technical stakeholders.

• Experience in business analysis, including process documentation and requirements management.

Good to have:

• Experience with Databricks, Snowflake, and/or Power BI.
• Experience working within Microsoft Azure cloud environments.
• Experience supporting or leading enterprise‑scale data platform implementations.
• Experience mentoring team members or contributing to technical best practices.

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.