Senior Data Engineer

KPMG SERVICES PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A global professional services firm in Singapore is seeking an experienced Data Strategy Specialist to define and implement their data strategy. The role involves building scalable data platforms and working with the Azure Data Platform. The ideal candidate has a Degree in Computer Science and at least 5 years of relevant experience, with strong skills in SQL, Python, and data workflows.

Qualifications

• Minimum of 5 years of experience in a similar role.
• Proven track record of building scalable data platforms.
• Hands-on experience in designing data warehouse solutions.

Responsibilities

• Define and implement the Data Strategy for the firm.
• Empower teams to harness data for actionable insights.
• Troubleshoot complex issues in data workflows.

Skills

Azure Data Platform

SQL

Python

Data workflows

ETL/ELT pipelines

Education

Degree in Computer Science or similar

Tools

Azure Synapse Analytics

Azure Databricks

Azure DevOps

Git

Azure Purview

Job description

KPMG is a global network of professional firms providing Audit, Tax and Advisory services. With 200,000 people operating in 154 countries around the world, we have outstanding professionals working together to provide value to local and global organisations. Committed to excellence, we are proud to be a recognised Employer of Choice in Singapore.

Within KPMG Singapore, the Information Technology Services (ITS) team is responsible for providing quality IT services and solutions internally to support the business and improve efficiency.

You will be part of the Data Office, responsible for defining and implementing the Singapore firm’s Data Strategy. The team works with a vision to empower people at KPMG to harness data across the firm to generate actionable insights and drive value.

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Required Skills:

• Degree in Computer Science, IT, Information management, or a similar field
• Minimum of 5 years of experience in similar role, with a proven track record of building scalable and performant data platform
• Proven experience working on the Azure Data Platform, with hands-on expertise in Azure Synapse Analytics and Azure Databricks
• Hands-on experience in designing and managing data warehouse solutions using Synapse (dedicated/serverless SQL pools). Proficient in SQL and python.
• Proven experience in creating and orchestrating data workflows, building complex ETL/ELT pipelines, and automating data movement across multiple environments.
• Demonstrated ability to troubleshoot complex issues in data workflows and implement effective solutions.
• Working knowledge of data ops deployment processes, including configuration, automation, and CI/CD workflows. Familiar with CI/CD tools (e.g., Azure DevOps) and version control systems (e.g., Git).
• Familiarity with managing metadata, data lineage, and data cataloguing such as Azure Purview
• Azure certifications, such as Azure Data Engineer Associate is a plus.