Data Engineer (Snowflake/Microsoft Fabric), AI & Data, Technology Consulting

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Company Overview

A global professional services organization with a significant presence in Asia-Pacific. Their AI & Data team comprises over 500 specialists dedicated to implementing information-driven strategies, data platforms, and advanced analytics solutions across various industries. They offer end-to-end services, from strategy to implementation, and foster a flexible, inclusive, and globally connected work environment.

Data Engineer (Snowflake/Microsoft Fabric), AI & Data, Technology Consulting

About the opportunity

The AI & Data team within a leading Asia-Pacific professional services organization is seeking experienced Data Engineers with expertise in either Snowflake or Microsoft Fabric to join their team in Singapore. This flexible full-time role involves designing, building, and maintaining data pipelines and delivering high-quality data solutions for clients. You will collaborate with data scientists, analysts, and business stakeholders, ensuring data quality, optimizing performance, and implementing data security best practices.

Your key responsibilities

• Design, develop, and maintain scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
• Collaborate with data scientists, data analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
• Implement data quality checks and monitoring to ensure data accuracy, consistency, and reliability.
• Optimize data pipelines for performance, scalability, and cost-efficiency.
• Develop and maintain data models, schemas, and metadata to support data analytics and reporting.
• Work with either Snowflake or Microsoft Fabric
• Implement data security and privacy best practices to protect sensitive data.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay up-to-date with the latest trends and best practices in data engineering and big data technologies.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least 2 years’ experience as a Data Engineer with experience in development and maintenance support
• Data Migration experience in AWS, Azure, Hadoop, GCP environments
• Experience in development and maintenance of data processing pipelines
• Experience developing machine learning workflows
• Experience in using Snowflake or Microsoft Fabric
• Work closely with business analysts to create data component.

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Degree in Computer Science or IT or Business Analytics

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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