Senior Consultant, Data Engineer, Finance Consulting

KPMG China; Hong Kong; On-site; HKD 400,000 - 550,000; Full time

Job summary

KPMG China in Hong Kong is looking for a Data Engineer to build enterprise-grade data solutions. Your role will involve developing architectures, creating ETLs/ELTs, and working with various data technologies.

The ideal candidate has a Bachelor's degree in a relevant field and at least 3 years of experience with data pipelines and programming languages. Strong problem-solving and communication skills are essential. KPMG emphasizes an inclusive workplace.

Qualifications

• Hands-on programming skills in SQL, Java, Python, C++, Scala, SAS, or Kafka.
• At least 3 years of experience with data pipeline technologies.
• Experience in implementing large-scale enterprise data solutions like data lakes and data warehouses.

Responsibilities

• Build enterprise-grade data solutions to execute client visions.
• Develop architectures like databases and large-scale processing solutions.
• Create ETLs/ELTs to manage data from various sources.
• Document and write technical specifications for solutions.

Skills

Problem-solving skills

Logical thinking

Excellent communication

Multitasking skills

Education

Bachelor's degree in mathematics, statistics, computer science, engineering or related field

Tools

Azure Data Factory

Airflow

Informatica

Databricks

SQL

Java

Python

C++

Scala

SAS

Kafka

Azure

AWS

Google Cloud

Alibaba Cloud

Tencent Cloud

Job description

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

• 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 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.
• Analyze 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.

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.
• 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.

Equal Opportunity Employer

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.