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Data Engineer (Snowflake)

Putrajaya Permanent MYR156,000 - MYR204,000 per year Work from Home or Hybrid View Job Description
As a Data Engineer in the Business Services industry, you will design, develop, and maintain data pipelines and systems to support business needs. Based in Putrajaya, this role requires a strong technical foundation and a passion for data innovation.
  • Build enterprise-scale data platforms for global AI and analytics.
  • High-impact permanent role with strong career growth in global tech.

About Our Client

This role focuses on designing and building scalable data pipelines and a modern cloud data Lakehouse to support enterprise-wide AI, analytics, and machine learning initiatives. You will work with cutting-edge tools to deliver high-quality, production-grade data solutions while collaborating across teams to drive impactful, data-driven transformation.

Job Description

As a Data Engineer, you will play a critical role in building and scaling a modern cloud-based data Lakehouse, supporting enterprise-level analytics, AI, and machine learning initiatives.You will:

  • Design, build, and optimize robust data pipelines using Python, SQL, Snowflake, Spark, and Airflow
  • Develop scalable ELT workflows and data transformation models using dbt
  • Build batch and real-time data ingestion frameworks leveraging AWS and streaming technologies
  • Create high-quality datasets to support AI/ML and GenAI use cases across the business
  • Implement data quality, governance, and validation frameworks to ensure data integrity
  • Drive engineering excellence through CI/CD, containerization (Docker), and orchestration (Kubernetes/AWS ECS)
  • Collaborate closely with data scientists, product owners, and business stakeholders to deliver impactful data solutions



This is a hands-on, high-visibility role where your work directly contributes to enterprise-wide transformation initiatives.

The Successful Applicant

A successful Data Engineer should have:

  • Minimum 3 years of experience in data engineering or data platform development
  • Strong skills in Python, SQL, and modern data stack tools (Snowflake, dbt, Spark)
  • Hands-on experience with AWS services (S3, Glue, Lambda, Redshift)
  • Solid understanding of data modeling techniques and large-scale data processing
  • Experience with workflow orchestration tools (Airflow or similar)
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines
  • A proactive mindset with strong ownership, problem-solving ability, and attention to detail
  • Bonus if you bring experience in streaming platforms (Kafka/Kinesis), MLOps, or data governance tools.

What's on Offer

  • Exposure to enterprise-scale AI and data transformation initiatives
  • Access to a modern tech stack (Snowflake, dbt, AWS, Spark)
  • Flexible work arrangements and strong work-life balance culture
  • Structured learning, mentorship, and global career development opportunities
  • Collaborative, inclusive team with a high-performance culture
  • Opportunities to work on cutting-edge data engineering and analytics challenges

If you're excited to build high-impact data platforms and want your work to power real business transformation at scale, this is your moment.Apply now and take your data engineering career to the next level. 🚀

Contact
Li Yee Quek
Quote job ref
JN-052026-7024115
Phone number
+60323024055

Job summary

Function
IT
Specialisation
IT Systems & Testing
What is your area of specialisation?
Financial Services
Location
Putrajaya
Contract Type
Permanent
Consultant name
Li Yee Quek
Consultant contact
+60323024055
Job Reference
JN-052026-7024115
Work from Home
Work from Home or Hybrid

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.