Senior Data Engineer

Tranglo Sdn Bhd; Kuala Lumpur; On-site; MYR 90,000 - 120,000; Full time

Job summary

A leading technology firm in Kuala Lumpur is seeking a Senior Data Engineer to drive implementation and optimization of data repositories. The ideal candidate has over 5 years of experience, strong SQL skills, and proficiency in programming languages like Python. This role requires an understanding of data governance and experience with BI tools for data visualization. Malaysians only.

Qualifications

• 5+ years of experience in data engineering, data warehousing, or big data environments.
• Strong understanding of data structures and performance tuning.
• Ability to troubleshoot complex data workflows.

Responsibilities

• Drive implementation and optimization of data repositories and lake architectures.
• Provide support and troubleshooting for data pipelines and ETL processes.
• Create and maintain data mapping documents.

Skills

SQL

Python

Data governance

Data modeling techniques

Data integration workflows

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems

Tools

Power BI

Tableau

Looker

Job description

Title: Senior Data Engineer

Department: Data | Division: Technology | Location: Bangsar South, KL

Key Responsibilities

• Drive the implementation and optimization of centralized data repositories and data lake architectures, supporting enterprise-wide analytics and reporting.
• Identify, diagnose, and resolve data‑related issues, ensuring data quality, integrity, and availability for downstream analytics and business applications.
• Apply advanced data modeling techniques to solve real‑world business challenges, ensuring data consistency, integrity, and performance.
• Provide advanced support and troubleshooting for data pipelines, ETL/ELT processes, and data integration workflows across cloud and on‑prem environments.
• Enhance and mentor others in organizational, communication, and analytical skills, fostering a collaborative and data‑driven engineering culture.
• Gain exposure to the end‑to‑end machine learning lifecycle, from experimentation to production, by enabling robust and scalable data access for model training and inference.
• Develop, optimize, and maintain robust data pipelines (ETL/ELT) across both on‑premise and cloud environments.
• Work closely with business and technical teams to ensure that data mapping aligns with business rules and reporting needs.
• Maintain data lake and data warehouse solutions.
• Develop detailed reports and documentation of incidents and resolutions to contribute towards continuous improvement processes within the team.
• Provide technical guidance to junior staff and implement best practices and coding standards.
• Create and maintain data mapping documents to define the relationships between source data and target schemas.
• Develop and support the ingestion of data from multiple sources into a centralized data repository or data lake.
• Perform basic data cleaning, transformation, and validation to ensure data quality and integrity.

Qualifications and Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years of experience in data engineering, data warehousing, or big data environments.
• Strong understanding of data structures, performance tuning, and optimization.
• Strong proficiency in SQL and one or more programming languages (Python, Java, or Scala).
• Ability to troubleshoot and improve complex data workflows.
• Experience designing systems for scalability, reliability, and maintainability.
• Strong communication and documentation skills.
• Solid understanding of data governance, security, and compliance principles.
• Exposure to BI tools such as Power BI, Tableau, or Looker for data consumption and visualization.
• Exposure to Machine Learning projects implementation.
• Nice to have: Experience with streaming platforms.

Malaysians only.