Consultant, Data Engineer, Finance Consulting
- Employer
- KPMG
- Location
- Hong Kong, Hong Kong
- Salary
- Competitive
- Closing date
- Nov 15, 2024
View more categoriesView less categories
- Job Function
- Accounting/Audit/Tax
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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KPMG China provides multidisciplinary services from audit and tax to advisory, with a strong focus on serving our clients' needs and their industries. Not only do we have an overriding commitment to provide the highest quality services for our clients, but we also strive to become a responsible corporate citizen that has a positive impact on our environment and community. At KPMG, you'll translate insights into action and reveal opportunities for all-our teams, our clients and our world.
Service Line Overview
KPMG's Finance Consulting team enables clients to maximize the performance of their Finance function and uses the latest technology to improve insights for growth and governance.
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 developed 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 realise their objectives through insights from the data and provide the right data to the right people at the right time.
Key Responsibilities
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 ].
Service Line Overview
KPMG's Finance Consulting team enables clients to maximize the performance of their Finance function and uses the latest technology to improve insights for growth and governance.
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 developed 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 realise their objectives through insights from the data and provide the right data to the right people at the right time.
Key Responsibilities
- As a Data Engineer, you will build the enterprise-grade data solution to execute clients' vision
- Understand the current state process of the clients and bring it to future state improvement and solution
- Develop, construct and test architectures such as databases and large-scale processing solutions
- Create ETLs/ELTs to handle data from various data sources and various formats, e.g. Batch ETL and Streaming ETL
- Provide advice on the data solutions & development tools selection
- Develop API and employ a variety of languages and tools e.g., scripting languages, to marry systems together
- Build transformation and validation code that applies complex data aggregation and calculation in different programming languages depending on the project scope and requirements
- Document and write technical specifications for the requirements of the solution
- Plan, design and lead the implementation of a large-scale data platform
- Work with the technical architects and application designers to understand the data conversion requirements fully and to design the conversion procedures and applications
- Analyse new data sources and work with stakeholders to integrate new data into existing pipelines and models
- Develop go-to-market strategies with team leaders and expand team capabilities
- Bachelor's degree (or higher) in mathematics, statistics, computer science, engineering or related field
- At least 1 year of working experience on data pipeline e.g., Azure Data Factory / Airflow / Informatica / Databricks
- 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
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 ].
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