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Experienced Associate - Data Engineer

Experienced Associate - Data Engineer

PwCKuala Lumpur, Kuala Lumpur, Malaysia
30+ days ago
Job description

Overview

PwC Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Experienced Associate - Data Engineer at PwC

Job Description & Summary : We believe that challenges are best solved together. You become part of a diverse and global community of problem-solvers. We develop sophisticated digital solutions that elevate businesses through technologies such as Generative AI, data management, analytics, and process automation, complemented by ERP implementation and operational model design. We collaborate with organizations to provide strategic guidance and execution support from inception through operationalization, ensuring navigation of business complexities. By focusing on data, analytics, emerging technologies, and business strategy, we empower clients to rethink strategies and operating models.

How will you value-add? As an Experienced Associate, you will work with a team of problem solvers and Subject Matter Experts to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to :

  • Foundational Knowledge of Technology : Demonstrates foundational knowledge of technology concepts and applications and how they can be applied to solve real-world problems. Stay updated with the latest technological trends and advancements.
  • Problem Solving and Analytical Skills : Leverage strong analytical and problem-solving skills to address complex business challenges, validate and interpret data, and provide insightful recommendations that drive strategic and executional decisions.
  • Client Relationship Management : Build and maintain strong, trusted relationships with clients, acting as a trusted advisor. Understand client needs and ensure engagements align with objectives and outcomes.
  • Team Collaboration : Collaborate effectively within diverse teams and with external stakeholders. Manage resources and build positive working relationships across levels.
  • Communication Skills : Exhibit clear and persuasive communication, verbally and in writing. Articulate ideas and findings to clients and team members clearly.
  • Professionalism and Integrity : Uphold high standards of conduct and integrity in all interactions. Commit to ethical practices and transparency.
  • Continuous Learning and Adaptability : Embrace a growth mindset, stay current with industry trends, and adapt to changing needs.

Line of Service : Assurance

Industry / Sector : Not Applicable

Specialism : Risk Architecture

Management Level : Associate

Responsibilities

As part of the role, you will contribute to data and analytics initiatives across client engagements, leveraging digital solutions and data-driven approaches to help clients rethink operating models and strategies.

  • Apply foundational technology knowledge to real-world problems within client engagements.
  • Collaborate with team members to deliver data-focused solutions and actionable insights.
  • Support data management, analytics, and automation initiatives as part of broader advisory work.

    • About you

    We recognize that ideal candidates may come from diverse backgrounds. Possessing the majority of the qualifications below is desired but not mandatory.

  • Bachelor's or Master's degree in disciplines with analytical / quantitative components (e.g., Accounting, Actuarial Science, Business Analytics, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Software Engineering).
  • Minimum 2–3 years of experience in the data industry.
  • Passion for technology with experience in areas such as :
  • Data : Foundations of data structures, databases, data processing; experience with data management frameworks, data governance, security, quality, and architecture; Big data and cloud technologies; data integration and management; ETL tools; API management; data quality tools.
  • Analytics : Analytical methods, large language models, ML, automation; data analytics and digital transformation projects; BI tools and programming languages (SQL, NoSQL, Python, R, SAS, etc.); data storytelling and visualization (Power BI, Tableau, Qlik).
  • Technologies : Emerging technologies (GenAI, Blockchain), solution architecture (cloud / app development / integration), enterprise apps (CRM, ERP); strong analytical and problem-solving skills; project management; business consultancy and advisory experience.

    • People skills : Excellent communication and presentation, client service mindset, and ability to collaborate with diverse stakeholders.

    Required Skills

    Travel and Work Authorization

  • Travel up to 80%
  • Available for Work Visa Sponsorship? No
  • Government Clearance Required? No

    • Job Posting Details

  • Job Posting End Date : March 31, 2026
  • Seniority level : Associate
  • Employment type : Full-time
  • Job function : Information Technology
  • Industries : Professional Services

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    Location references : Petaling Jaya, Selangor, Malaysia; Kuala Lumpur, Malaysia

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    Data Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia