Senior Data Engineer & Analytics Lead

EY

Kuala Lumpur

On-site

MYR 120,000 - 180,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

EY Malaysia is seeking an experienced Data Engineer to join our Data and Analytics team. You will work on large-scale data pipelines, APIs, and data models across BI and DW environments, helping clients unlock data value and drive informed decisions.

You will collaborate with analytics teams and business stakeholders to ensure data quality, accessibility, and scalable data solutions. The role requires strong technical skills and communication in a dynamic financial services setting.

Qualifications

8+ years of data engineering experience in financial services or related sector.
Experience with data models, data pipelines and data quality practices.
Strong communication and documentation skills.

Responsibilities

Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.