Senior Associate - Data Engineer (Delivery Excellence)(PwC Acceleration Center Kuala Lumpur)

PwC; Kuala Lumpur; On-site; MYR 80,000 - 100,000; Full time

Job summary

A leading consulting firm in Kuala Lumpur is seeking a Senior Associate specializing in data engineering to design and build scalable data solutions. The role demands a minimum of 3 years of experience with expertise in tools like PySpark, Python, SQL, Azure, and Databricks. Candidates will be responsible for ensuring high-quality data delivery while building client relationships and adapting to dynamic project requirements. The position offers a unique opportunity to drive excellence within the Delivery Excellence team.

Qualifications

• Minimum 3 years of working experience with strong Data Engineering skills.
• Deep understanding of data-modeling techniques and architecture.
• Experience setting up CI/CD and automated testing for deployments.

Responsibilities

• Leverage advanced technologies to design and develop data solutions.
• Interact with product and project managers to drive optimized solutions.
• Build meaningful client connections while growing your personal brand.

Skills

Data Engineering

Critical Thinking

Problem Solving

Client Connection Management

Data Interpretation

Tools

PySpark

Python

SQL

Azure

Databricks

Job description

Industry/Sector

Technology

Specialism

Advisory - Other

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth.

Those in cloud and automation engineering at PwC will focus on planning, designing, developing, testing and troubleshooting cloud‑based applications on proprietary products and platforms, specialising in mass customization. You will work across the complete cloud stack and have an in‑depth knowledge of cloud storage and applications. Working in this area, you will interact with product and project managers and other key stakeholders to drive an optimised solution within known constraints.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills and Experience Required

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct and independence requirements.

The Delivery Excellence Reporting & Analytics Team

The Delivery Excellence Reporting & Analytics team is looking for a Senior Associate to join the program team! Our vision for the future is to deliver excellence, provide greater client value and lower the cost of delivery, through standardised solution and delivery across Advisory, by leveraging Solution Studio and PDM (PwC Delivery Methodology) that is powered by GenAI.

Key Skills Required

• Minimum 3 years of working experience, with strong Data Engineering skills to design and build scalable and enterprise‑grade data pipelines utilizing PySpark, Python, SQL, Azure and Databricks.
• Strong technical background and implementation of best practices on the Databricks platform, with a thorough understanding of Workflows, DLT and Unity Catalog.
• Deep understanding of data‑modeling techniques and architecture, Delta Lake and Lakehouse architecture.
• Experience setting up CI/CD, automated testing and version control for fast and reliable deployments.
• Experience in ML techniques, RAG and GenAI‑based frameworks like Language Chain, LangGraph, etc.
• Interest and enthusiasm for transforming how we deliver work as part of the Delivery Excellence team.

Travel Requirements

Not Specified