Senior Data Engineer: Databricks & AI Solutions (Flexible)

ernst & young advisory pte. ltd.; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

EY is seeking a Data Engineer to advance data platforms across the APAC region. You will design scalable data pipelines, implement high-quality delivery, and deploy on secure cloud environments.

The role involves transforming raw data into actionable insights using Python, Spark and Scala, with emphasis on data governance, modelling and AI techniques. You will collaborate with engineers, analysts and clients, ensuring solutions meet business requirements and align with best practices.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Engineering, Statistics, or related field.
• Databricks certifications; AWS certifications on data engineering.
• At least 4 years of experience on data platform solutions across the SDLC.
• At least 2 years’ experience mapping requirements to data pipelines on Databricks across AWS.
• Proficiency in Python, Spark, Scala.
• Understanding of end-to-end data analytics and insights delivery.
• Strong data modelling knowledge and AI trends.
• 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.
• Code complex requirements for large data platforms; deliver high-quality results.
• Deploy projects on public clouds and secure environments.
• Integrate with data governance tools and cloud ecosystem products.
• Translate business requirements into high-level and low-level designs.
• Develop analytics solutions to transform raw data into meaningful insights.
• Apply data mining, data modelling, NLP and ML to extract information.
• Visualize and report findings; create dynamic data reports.
• Collaborate with stakeholders and present to non-technical audiences.
• Advise on modular, reusable data engineering code practices.
• Stay current with data analytics trends including AI integrations.

Tools

Databricks

AWS

Python

Spark

Scala

Job description

EY is seeking a Data Engineer to advance data platforms across the APAC region. You will design scalable data pipelines, implement high-quality delivery, and deploy on secure cloud environments.

The role involves transforming raw data into actionable insights using Python, Spark and Scala, with emphasis on data governance, modelling and AI techniques. You will collaborate with engineers, analysts and clients, ensuring solutions meet business requirements and align with best practices.