Senior Data Engineer - Databricks & AI Cloud Pipelines

ernst & young advisory pte. ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

EY is seeking a Data Engineer to design scalable data pipelines on Databricks across AWS, leveraging Python, Spark and Scala. The role requires 4+ years in data platforms, with strong analytics delivery and AI awareness. You will translate business requirements into robust designs, collaborate with stakeholders, and contribute to secure cloud deployments.

Join EY Asia-Pacific in a dynamic, data-driven environment that values continuous learning and diverse perspectives.

Qualifications

• Min bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or a related field.
• Databricks certifications, AWS certifications on data engineering.
• At least 4 years of experience on various data platform solutions across data and analytics across the entire SDLC.
• At least 2 years’ experience on designing and mapping requirements to technical capabilities of data pipelines on databricks across AWS.
• Proficiency in programming leveraging Python, Spark, Scala and other programming languages.
• Understanding of end-to-end data analytics domain and insights delivery.
• Excellent understanding of data modelling techniques and leading trends on data platforms including AI.
• Possess strong problem-solving, analytical and strategic thinking abilities.
• GCC experience will be an added advantage.
• Proficiency with agile boards like JIRA, Atlassian products.
• Experience in Consulting/Professional Services environment.

Responsibilities

• Design data pipelines with scalability, high performance and resilience in-built.
• Code complex requirements as part of large complex data platforms - develop, refine, and implement high quality delivery executions.
• Deliver project deployments on public clouds and highly secure environments.
• Integrate with data governance tools, ecosystem products across the cloud landscape.
• Translate business requirements into high-level and low-level designs to meet objectives.
• Develop analytics applications to transform raw data into meaningful information using data-oriented languages and visualization software.
• Apply data mining, data modelling, NLP, and ML to extract and analyse information from large datasets.
• Visualize, interpret, and report data findings to a non-technical audience.
• Collaborate with stakeholders and present findings to non-technical audiences.
• Stay current with technical and industry developments, including AI integrations.

Skills

Python

Spark

Scala

Data analytics

Education

Bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or related field

Tools

Databricks

AWS

Job description

EY is seeking a Data Engineer to design scalable data pipelines on Databricks across AWS, leveraging Python, Spark and Scala. The role requires 4+ years in data platforms, with strong analytics delivery and AI awareness. You will translate business requirements into robust designs, collaborate with stakeholders, and contribute to secure cloud deployments.

Join EY Asia-Pacific in a dynamic, data-driven environment that values continuous learning and diverse perspectives.