Data Engineer (ETL, Talend, Azure) - Senior Associate, AI & Data, Technology Consulting

EY; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading global consulting firm in Singapore seeks a Senior Associate Data Engineer to design and maintain ETL pipelines and ensure data quality. The ideal candidate has a Bachelor's degree in Computer Science and at least 4 years of experience in data engineering with strong expertise in Talend and Microsoft Azure. This role emphasizes problem-solving skills and offers a dynamic environment with opportunities for continuous learning and development.

Benefits

Continuous learning opportunities

Transformative leadership coaching

Diverse and inclusive culture

Qualifications

• Minimally 4 years of hands-on experience in Data Engineering/ETL Development.
• Strong experience with ETL design patterns and data warehousing.
• Experience working in Agile/Scrum environments.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Talend.
• Integrate data from multiple sources.
• Optimize data pipelines for performance and scalability.

Skills

ETL development

Data engineering

Microsoft Azure

SQL skills

Problem-solving

Education

Bachelor's degree in Computer Science or related field

Tools

Talend

Azure Data Factory

Azure Data Lake

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

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 a Senior Associate Data Engineer with strong hands-on experience in ETL development using Talend and Microsoft Azure data services. The role involves designing, building, and optimizing scalable data pipelines to support analytics, reporting, and downstream applications.

Your Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Talend
• Integrate data from multiple sources (databases, APIs, flat files, cloud sources)
• Build and manage data workflows on Microsoft Azure
  • Azure Data Factory
  • Azure Data Lake Storage (ADLS)
  • Azure SQL / Synapse Analytics
• Ensure data quality, consistency, and reliability
• Optimize data pipelines for performance, scalability, and cost
• Collaborate with data analysts, BI teams, and stakeholders to understand data requirements
• Implement data validation, monitoring, and error handling
• Support production deployments and resolve data pipeline issues
• Document data flows, transformations, and technical designs
• Mentor junior team members and provide technical guidance

To qualify for the role, you must have

• Bachelor's degree in Computer Science, Information Systems, or related field.
• Minimally 4 years of hands-on experience in Data Engineering/ETL Development
• Strong experience with ETL design patterns, data warehousing, and real-time/near real-time data processing.
• Strong hands-on experience with Talend (Data Integration/Big Data)
• Solid experience with Microsoft Azure data services, including
  • Azure Data Factory
  • Azure Data Lake
  • Azure SQL/Synapse
• Strong SQL skills (complex queries, performance tuning)
• Experience with data warehousing concepts
• Familiarity with batch and near-real-time data processing
• Understanding of data governance, security, and access controls
• Experience working in Agile/Scrum environments

Ideally, you'll also have

• Experience with Python or Spark
• Exposure to DevOps / CI-CD pipelines for data platforms
• Experience with Power BI or downstream analytics tools
• Knowledge of cloud cost optimization best practices
• Experience in regulated or enterprise environments
  • Python
  • Power BI
  • Databricks
  • AWS

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 Working At EY Offers

• 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 De ion

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.