Junior Data Engineer

2 weeks ago


Klang, Selangor, Malaysia MR DIY Malaysia Full time 40,000 - 80,000 per year

Company Description

MR D.I.Y. is a home-grown enterprise with over 1,500 stores across Malaysia and Brunei. The home improvement retailer has dedicated to make a positive difference in the lives of its valued customers by offering convenience at all its stores nationwide and online at

All MR. D.I.Y. stores are managed directly and the retailer often works in collaboration with owners of shopfront properties or owners of malls. MR. D.I.Y. stores offer a wide selection of SKUs across five major categories, namely hardware; household and furnishing; electrical; stationery and sports equipment products; and others (comprising toys, car accessories, jewellery, cosmetics, food and beverage items, as well as health and personal care).

The Company strives to put its customers first by operating an innovative business that is flexible when it comes to providing a wide variety of products, good quality and value-for-money, holding true to the Company's motto of "Always Low Prices".

About the role

We are seeking a motivated Junior Data Engineer
to join our data engineering team. This role focuses on
Google BigQuery
and related Google Cloud Platform (GCP) services. You will work closely with senior engineers to design, build, and maintain scalable data pipelines, ensure data quality, and support analytics and reporting needs. This is a great opportunity for someone early in their career to gain hands-on experience with cloud-based data engineering.

Key Responsibilities

  • Assist in developing, maintaining, and optimizing data pipelines in
    Google BigQuery
    .
  • Write and tune
    SQL queries
    for data extraction, transformation, and loading (ETL/ELT).
  • Support integration of data from multiple sources into the data warehouse.
  • Ensure data accuracy, consistency, and quality across pipelines.
  • Support reporting and analytics teams by providing clean and well-structured datasets.
  • Help monitor, troubleshoot, and optimize BigQuery jobs and data workflows.
  • Document processes, queries, and workflows for internal and external use.

Qualifications

Bachelor's degree in Computer Science/ Data Analytics/ Engineering or related field

Proficient in Python, Pandas, SQL, Microsoft Excel, Google Big Query

Basic knowledge of data modeling concepts

Willingness to learn and adapt in a fast-paced environment

Fresh graduates are welcome; 1–2 years of relevant experience is a plus.



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