Data Engineer (Senior Associate), Consulting

ERNST & YOUNG ADVISORY PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

EY Singapore is seeking a Data Engineer to design, build, and optimize scalable data solutions across Azure data services. You will translate business needs into robust data pipelines and collaborate with stakeholders to ensure data is reliable and accessible for analytics.

You will work with Python, SQL, and technologies like Azure Synapse Analytics and Azure Data Factory, contribute to data modeling, and help drive best practices across the data platform in a consultative, inclusive culture.

Qualifications

• Bachelor’s degree in a relevant discipline.
• Experience designing and implementing data pipelines and data integration solutions.
• Experience in business analysis, including requirements gathering and stakeholder engagement.
• Proficiency in Azure Synapse Analytics and Azure Data Factory.
• Proficiency in Python and SQL.
• Strong written and verbal communication with technical and non-technical stakeholders.
• Ability to manage multiple priorities in a collaborative project environment.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes across cloud data platforms.
• Engage business stakeholders to gather requirements, document processes, and translate business needs into technical data solutions.
• Develop and optimize data models, transformations, and workflows using Python and SQL.
• Collaborate with analytics and reporting teams to ensure data is structured and accessible for downstream consumption.
• Monitor, troubleshoot, and improve the performance, reliability, and scalability of data pipelines and storage solutions.
• Contribute to technical best practices, standards, and continuous improvement initiatives.

Skills

Data engineering

Python

SQL

Stakeholder engagement

Communication

Business analysis

Project management

Multi-priority handling

Education

Bachelor’s Degree in relevant discipline

Tools

Azure Synapse Analytics

Azure Data Factory

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 a Data Engineer to design, build, and optimize scalable data solutions that support business and operational objectives. The role combines advanced data engineering expertise with strong business analysis capabilities to translate business requirements into effective technical solutions.

Your Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes across cloud data platforms.
• Engage business stakeholders to gather requirements, document processes, and translate business needs into technical data solutions.
• Develop and optimize data models, transformations, and workflows using Python and SQL.
• Collaborate with analytics and reporting teams to ensure data is structured and accessible for downstream consumption.
• Monitor, troubleshoot, and improve the performance, reliability, and scalability of data pipelines and storage solutions.
• Contribute to technical best practices, standards, and continuous improvement initiatives.

To qualify for the role, you must have

• Bachelor’s Degree in relevant discipline
• Demonstrated experience in data engineering, including designing and implementing data pipelines and data integration solutions.
• Proven experience in business analysis, including requirements gathering, stakeholder engagement, and process documentation.
• Strong technical expertise in Azure Synapse Analytics and Azure Data Factory (ADF).
• Proficiency in Python and SQL.
• Strong written and verbal communication skills, with the ability to engage effectively with technical and non-technical stakeholders.
• Ability to manage multiple priorities in a collaborative project environment.

Ideally, you’ll also have

• Experience with Databricks, Snowflake, and/or Power BI.
• Experience working with cloud-based data platforms, preferably within the Azure ecosystem.
• Experience leading technical workstreams or mentoring junior team members.
• Prior experience within a consulting or professional services environment.

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 team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What we offer

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.

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.