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Urgent! Manager - Data Engineer Job Opening In Kuala Lumpur – Now Hiring PwC Malaysia

Manager Data Engineer



Job description

PwC Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Overview

Join PwC Malaysia as a Manager - Data Engineer.

This role focuses on helping to design, implement, and manage data engineering solutions that support data analytics, governance, and digital transformation initiatives within the assurance practice and broader advisory services.

Responsibilities

  • As a Senior Associate/Manager-level data engineer, work with a team of problem solvers and Subject Matter Experts to solve complex business issues from strategy to execution.

  • Apply PwC Professional skills and responsibilities for the management level, including problem solving, client relationship management, teamwork, communication, professionalism, and continuous learning.

  • Design, develop, and evaluate data platforms and pipelines to ensure data quality, integrity, and accessibility for analytics and reporting.

  • Assess and evaluate the design and effectiveness of an organizationu2019s IT systems and controls to ensure compliance with regulations and to mitigate risks.

About You / Qualifications

  • Bachelor's or master's degree in disciplines with an analytical and quantitative component (e.g., Computer Science, Engineering, Mathematics, Statistics, Information Systems, Economics, Business Analytics, etc.).

  • Minimum 3–5 years of experience in the data industry.

  • Strong interest in technology with experience in one or more of the following areas: data, analytics, and technologies listed below.

  • Data: Understanding of data structures, database systems, data processing, data quality tools, data integration, ETL tools, API management, data governance, and data architecture.

  • Analytics: Knowledge of analytical methods, data storytelling/visualization (Power BI, Tableau, or QlikView), SQL/NoSQL, programming languages (R, Python), and familiarity with AI/ML concepts and automation.

  • Technologies: Experience with enterprise apps, solution architecture, cloud platforms (AWS, Azure, Google Cloud), data warehouses (Snowflake, Redshift, Synapse), and emerging technologies (GenAI, blockchain) is a plus.

    Certifications such as AWS Data Engineer, Azure Data Engineer, etc., are advantageous.

  • Strong analytical, problem-solving, and project-management capabilities with the ability to work with large, complex data sets.

  • Excellent communication and presentation skills and the ability to collaborate with diverse stakeholders.

Job Details

  • Travel: Up to 40%
  • Available for Work Visa Sponsorship: No
  • Government Clearance Required: Yes
  • Employment Type: Full-time
  • Job Function: Information Technology
  • Industry: Professional Services

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Required Skill Profession

It & Technology



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