Associate/ Senior Associate - Data Engineer

EY; Kuala Lumpur; On-site; MYR 122,000 - 246,000; Full time

Job summary

A global professional services firm is seeking a Data Engineer in Kuala Lumpur to design and build robust data pipelines and architectures for analytics and AI workloads. The role involves developing ETL/ELT pipelines, optimizing data storage solutions, and collaborating with data teams to ensure seamless data processes. Candidates should have a degree in Computer Science or related fields, along with basic SQL knowledge and experience with relevant programming languages. The position promises a supportive and inclusive work environment.

Benefits

Flexible work environment

Diverse culture

Qualifications

• Experience as a Data Engineer or ETL Developer is a plus.
• Basic proficiency in SQL and at least one programming language (Python, Java, or Scala).

Responsibilities

• Design and develop ETL/ELT pipelines for various data types.
• Build data storage solutions such as data lakes and warehouses.
• Implement monitoring processes for data quality.
• Collaborate with teams to ensure data availability.
• Automate workflows for data processing.

Skills

Data Engineering

SQL

Python

DevOps practices

Containerization

Education

Diploma/Bachelor's degree in Computer Science/IT/Machine Learning/AI

Tools

Apache Spark

Informatica

Kafka

Docker

Git

Job description

The opportunity

We are seeking a professional looking to build a career inData Engineeringto design, build, and maintain robust data pipelines and architectures for large-scale analytics and AI workloads. You will work directly with Senior Data Engineers on data infrastructure, ensuring that data from multiple sources is efficiently collected, transformed, and made available for downstream applications. This role is fully hands‑on and focused on technical execution.

Your key responsibilities

• Design, develop ETL/ELT pipelines for structured, semi-structured, and unstructured data.
• Build data storage solutions (data lakes, warehouses, and streaming platforms).
• Implement data quality, validation, and monitoring processes.
• Optimize query performance and resource utilization in data processing systems.
• Collaborate with data scientists, ML engineers, and application developers to ensure seamless data availability.
• Automate workflows for data ingestion, transformation, and delivery.

Skills and attributes for success

• Possess some experience as a Data Engineer or ETL Developer.
• Basic proficiency in SQL and at least one programming language (Python, Java, or Scala).

To qualify for the role, you must have

• Minimum qualifications of Diploma/ Bachelor’s degree in Computer Science/ IT/ Machine Learning/ AI.

Ideally, you’ll also have

• Experience with big data frameworks such as Apache Spark, Flink, or Hadoop.
• Proficiency with ETL tools (Informatica, Talend, Microsoft SSIS) or open-source integration tools (Kafka, NiFi, Airflow).
• Understanding of data modeling, warehousing concepts, and schema design.
• Familiarity with cloud data platforms (AWS Redshift, GCP BigQuery, Azure Synapse).
• Experience with streaming data processing and real‑time analytics pipelines.

What we look for

• Knowledge of containerization (Docker, Kubernetes) for data workloads.
• Exposure to DevOps/DataOps practices for CI/CD of data pipelines.
• Experience with version control (Git) and infrastructure-as-code tools (Terraform).

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.

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