Manager - Data Engineer

Overview

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

Manager - Data Engineer Location: Kuala Lumpur, Malaysia

Responsibilities

Lead and contribute as a problem solver and Subject Matter Expert to solve complex business issues from strategy to execution.

Demonstrate foundational knowledge of technology concepts and applications and how they can be applied to real-world problems; stay updated with evolving technological trends.

Leverage strong analytical and problem-solving skills to address complex business challenges, validate and interpret data, and provide insightful recommendations.

Build and maintain strong, trusted client relationships and act as a trusted advisor; ensure engagements align with client objectives and outcomes.

Collaborate effectively within diverse teams and with external stakeholders; manage resources and maintain cohesive team dynamics.

Communicate clearly and persuasively, both verbally and in writing; articulate ideas and insights to clients and team members.

Uphold high standards of professionalism and integrity; commit to ethical practices and transparency.

Embrace continuous learning and adaptability; stay current with industry trends and lead practices; handle ambiguity and changing client needs.

About you / Qualifications We recognise that our ideal candidate may come from a diverse range of backgrounds and experiences. Possessing a majority of the qualifications below is desired, but not mandatory.

Bachelors or masters degree in disciplines with an analytical and quantitative component. Preferred fields include Accounting, Actuarial Science, Business Analytics, Computer Science, Economics, Engineering, Finance, Information Systems, Mathematics, Statistics, or Software Engineering.

Minimum 3 - 5 years of experience in the data industry.

Passion for technology with experience in one or more of the following areas:

Data : Data structures, database systems, data processing; data quality tools, data integration, ETL tools, API management; big data and cloud technologies; data governance, data security, data quality and architecture.

Analytics : Analytical methods, data storytelling/visualization (PowerBI, Tableau, QlikView), BI tools, SQL/NoSQL/R/Python/SAS; experience with Large Language Models; data analytics projects and digital transformation.

Technologies : Enterprise apps, solution architecture (cloud, development, integration); emerging technologies (GenAI, Blockchain).

Relevant data engineering/data science certifications (e.g., AWS/Azure/GCP certifications).

Strong analytical, problem-solving, and project management capabilities; ability to translate business requirements into technical solutions.

Excellent communication and presentation skills; client service mindset.

Required / Optional Skills Required Skills

Accepting Feedback, Analytical Thinking, Data Analysis and Interpretation, Data Modeling, Data Quality, Data Visualization, Data Ingestion, Data Transformation, Data Security

Optional Skills

(not exhaustive)

AI/Automation, Auditing, Client Management, Compliance, Creativity, Emotional Regulation, Empathy, GAAS, Coaching and Feedback

Travel Up to 40%

Visa Sponsorship Available for Work Visa Sponsorship? No

Government Clearance Government Clearance Required? Yes

Job Details

Seniority level:

Mid-Senior level

Employment type:

Full-time

Job function:

Information Technology

Industries:

Professional Services

Job posting location: Kuala Lumpur, Malaysia

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Information :

• Company : PwC
• Position : Manager - Data Engineer
• Location : Kuala Lumpur, Kuala Lumpur
• Country : MY