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Data Engineer

Salary undisclosed

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Company Description

MR D.I.Y. is a home-grown enterprise with over 1,200 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 mrdiy.com.my

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, jewelry, 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”.

Job Description

This is a full-time role for a Data Engineer at MR DIY Malaysia. The Data Engineer will be responsible for:

  • Lead and participate in managing projects, eg: report automation, process automation
  • Assist team lead in developing AI, ML and Generative AI projects
  • Engage in in-depth discussions with clients to align business requirements and expectations, in order to design impactful data solutions
  • Work together with team lead in planning project timelines and resource requirements
  • Collaborate with cross-functional teams and stakeholders and ensure successful implementation of requirements and requests
  • Proactively updating the team lead on the project status
  • Manage and mentor junior data engineers to ensure efficient execution and successful project development
  • Design and optimize data models in Big Query and write efficient SQL queries for data extraction and manipulation
  • Develop automated data pipelines using Apache Airflow

Required Skills and Experience

  • Bachelor's degree in Computer Science, Data Science, or a related field
  • 2-3 years of experience as a Data Engineer or similar role
  • Strong proficiency in SQL and data modeling, particularly in Big Query
  • Experience with data pipelines using tools like Apache Airflow
  • Experience with data manipulation using tools like pandas
  • Knowledge of data quality checks, validation processes, and data governance practices
  • Familiarity with cloud computing platforms like Google Cloud Platform (GCP)
  • Ability to collaborate effectively with cross-functional teams and stakeholders
  • Strong problem-solving and analytical skills
  • Experience in the retail industry is a plus