Senior Data Engineer

4 days ago

Singapur, Singapore KPMG Singapore Full time

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Start Date for Applications: 11 Aug 2025

Closing Date for Applications: (Insert closing date)

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax, and Advisory services. We operate in 143 countries and territories with more than 273,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

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 organizations. Committed to excellence, we are proud to be a recognized 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.

Required Skills:

  • Degree in Computer Science, IT, Information Management, or a similar field
  • Minimum of 5 years of experience in a similar role, with a proven track record of building scalable and performant data platforms
  • 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.
  • Ability to troubleshoot complex issues in data workflows and implement effective solutions.
  • 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, are a plus.

Only shortlisted candidates will be contacted by the KPMG Talent Acquisition team. Personal data collected will be used for recruitment purposes only.

At KPMG in Singapore, we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background, and experience strengthens relationships and delivers meaningful benefits to our people, clients, and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, color, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

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