Service Line Overview

KPMG’s Transformation team enables clients to maximize business performance by using the latest technologies to improve growth, governance and insights.

Our team in Hong Kong is the fastest growing division within KPMG China and represents a young and enthusiastic team that always pushes itself to succeed. Since our creation, we have accumulated in-depth knowledge of an incredibly broad spread of sectors and services.

Our Data & Analytics team assists clients to develop and execute their strategies by optimising the use of information. We enable businesses to provide the right data to the right people at the right time, and realise their objectives through insights from their data.

Key Responsibilities

• Data Pipeline Development:

  • Build and maintain ETL/ELT pipelines for structured/unstructured data. 

  • Integrate data from APIs, databases, IoT devices, and third-party systems. 

  • Implement real-time/batch processing using tools like Spark, Kafka, or Airflow. 

• Cloud & Big Data Solutions:

  • Migrate and optimize legacy systems to cloud platforms (AWS, Azure, GCP). 

  • Deploy data warehouses (Snowflake, Redshift) and lakes (Databricks, S3). 

  • Leverage serverless technologies (Lambda, Azure Functions) for cost efficiency.

• Documentation:

  • Maintain architecture diagrams, technical specifications, data dictionaries, and process workflows.   

• Collaboration & Optimization:

  • Work with finance/actuarial teams to productionize models. 

  • Troubleshoot performance bottlenecks and ensure data quality. 

  • Automate workflows using DevOps tools (CI/CD, Docker, Terraform). 

• Data Strategy & Solution Design:

  • Partner with clients to assess data needs, pain points, and goals. 

  • Design tailored data architectures (cloud, hybrid, or on-premises). 

  • Advise on best practices for data governance, security, and compliance. 

• Client Management:

  • Drive workshops to translate technical solutions for non-technical stakeholders. 

  • Manage project timelines, deliverables, and documentation. 

Experience & Background

• Bachelor's degree (or higher) in mathematics, statistics, computer science, engineering or related field

• At least 3 years of working experience on data pipeline e.g., Azure Data Factory / Airflow / Informatica / Databricks

• Knowledge of data modeling (star schema, data vault) and orchestration tools (Airflow, Luigi). 

• Hands on programming skill e.g., SQL / Java / Python / C++ / Scala / SAS / Kafka 

• Practical Experience with implementing large-scale enterprise data solutions e.g. data lake/data warehouse/data mesh

• Deep understanding of cloud computing and data technologies, business drivers, emerging computing trends, and deployment options e.g., Azure / AWS / Google Cloud / Alibaba Cloud / Tencent Cloud

• Experience with Agile & DevOps methodologies

• Knowledge of market trends and emerging technologies such as Big Data, Block Chain, Internet of Things, Artificial Intelligence, etc would be a bonus

• Strong problem-solving skills and logical thinking

• Excellent multitasking skills and task management strategies

• Ability to complete milestones and work toward multiple deadlines simultaneously

• Confident in decision making and the ability to explain processes or choices as needed

• Excellent communication and interpersonal skills

• Proficient in both spoken and written English and Chinese

About KPMG

At KPMG China, we are committed to being an equal opportunity employer, with zero tolerance for any form of discrimination against any persons. It is important for us to create an inclusive, diverse and agile workplace for our people to develop and thrive at both a personal and professional level.

We strive to make ESG (environmental, social and governance) a watermark running through our organisation; from empowering our people to become agents of positive change, to providing better solutions and services to our clients to help them achieve their ESG goals. View Our Impact Plan to learn more about our ESG commitments and progress across four key pillars - Governance, People, Planet and Prosperity – and how we make a positive impact on our people, environment and society.

We encourage you to come as you are, and we welcome all qualified candidates to apply, and hope you unlock opportunities with us. Visit KPMG China website for more company information.  

You acknowledge and agree that all personal information hereby provided regarding yourself will be used by KPMG China for its candidate selection purposed only. KPMG China collects, uses, processes, and retains your personal information in accordance with KPMG China’s Online Privacy Statement and/or KPMG China Privacy Statement (collectively "Privacy Statement"). During the recruitment process, KPMG China may need to store personal information of candidates in a designated third-party application tracking platform.

If you have any questions regarding the information you provided in the form or your job application in general, please contact KPMG China’s HR personnel in the location where your application is submitted [see here].