Junior Data Engineer

EY; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A global consulting firm in Kuala Lumpur seeks a Data Engineer to design and maintain robust data pipelines for large-scale analytics. The role focuses on technical execution and requires collaboration with data scientists and ML engineers. Ideal candidates have a degree in Computer Science/IT, basic SQL proficiency, and experience with big data frameworks. Strong programming skills in Python, Java, or Scala are essential, together with knowledge of ETL tools and cloud platforms. Join this dynamic team to shape the future with confidence.

Qualifications

• Minimum qualifications of Diploma/Bachelor's degree in Computer Science/IT/Machine Learning/AI.
• Basic proficiency in SQL and at least one programming language (Python, Java, or Scala).
• Experience with ETL tools and big data frameworks desirable.

Responsibilities

• Design and develop ETL/ELT pipelines for diverse data types.
• Build data storage solutions such as data lakes and warehouses.
• Collaborate with data scientists and ML engineers for seamless data access.

Skills

Experience as a Data Engineer or ETL Developer

SQL proficiency

Programming languages (Python, Java, Scala)

Knowledge of big data frameworks (Apache Spark, Flink, Hadoop)

ETL tools experience (Informatica, Talend, SSIS)

Cloud data platforms familiarity (AWS, GCP, Azure)

Real-time analytics understanding

Education

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

Tools

Docker

Kubernetes

Git

Terraform

Job description

The opportunity

We are seeking a professional looking to build a career in Data Engineering to 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

To work under supervision of a Senior Data Engineer to deliver below task:

• 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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