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Senior Data Engineer

Singapore Permanent SG$8,000 - SG$10,000 per month (SG$96,000 - SG$120,000 per year) View Job Description
Join a forward-thinking organization that is investing heavily in modern data platforms, advanced analytics, and artificial intelligence capabilities. This role offers the opportunity to architect scalable data ecosystems, enable AI innovation, and drive enterprise-wide data excellence through automation and cloud technologies.
  • Design enterprise-scale data platforms powering analytics and AI
  • Lead automation, MLOps, and cloud data transformation initiatives

About Our Client

Our client is a technology-driven enterprise undergoing a significant data and AI transformation journey. With a strong focus on leveraging cloud platforms, advanced analytics, and machine learning, the organization is building a modern data foundation that empowers business decision-making, operational efficiency, and innovation at scale. The company offers a collaborative environment where data engineering, analytics, and AI teams work closely to deliver measurable business outcomes while embracing engineering excellence and continuous improvement.

Job Description

As a Senior Data Engineer, you will play a critical role in designing and delivering reliable, scalable, and production-grade data platforms that support business intelligence, advanced analytics, and AI initiatives.

  • Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery across multiple business domains.
  • Build and automate ETL/ELT workflows using modern orchestration and cloud technologies to improve reliability and efficiency.
  • Optimize enterprise data lakehouse and warehouse environments, ensuring performance, scalability, and cost effectiveness.
  • Partner with Data Scientists and Analytics teams to build robust data foundations that support machine learning and AI solutions.
  • Implement data quality frameworks, monitoring solutions, governance standards, and security controls across the data ecosystem.
  • Enable CI/CD practices, Infrastructure-as-Code, and containerized deployment methodologies to support modern engineering standards.
  • Drive continuous improvement initiatives through technology evaluation, architecture enhancements, and automation best practices.

The Successful Applicant

  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related discipline.
  • Experience in data engineering, data platform development, or large-scale data infrastructure environments.
  • Strong proficiency in SQL and Python, with hands-on experience in data processing frameworks such as Spark, Hadoop, dbt, and Airflow.
  • Proven expertise designing and supporting enterprise-level cloud data platforms and large-scale datasets.
  • Experience with AWS data services including Redshift, Glue, S3, Athena, EMR, Lambda, and Lake Formation.
  • Exposure to modern cloud analytics platforms such as Databricks and Snowflake.
  • Knowledge of MLOps frameworks and tools including SageMaker, MLflow, or similar machine learning deployment platforms.
  • Strong understanding of data governance, security, compliance, and data quality management practices.
  • Professional certifications in cloud, data engineering, or solution architecture will be advantageous

What's on Offer

  • Opportunity to shape and scale a next-generation enterprise data and AI platform.
  • Exposure to cutting-edge cloud, analytics, and machine learning technologies.
  • High-impact role working alongside experienced data, analytics, and engineering professionals.
  • Strong emphasis on innovation, automation, and technical excellence.
  • Continuous learning and professional development opportunities.
  • Career progression within a growing data and digital transformation environment.
  • Collaborative culture with visibility across senior business and technology stakeholders.



Contact
Calvin Tan (EA no: 18S9099)
Quote job ref
JN-072026-7065578
Phone number
+65 64169820

Job summary

Function
IT
Specialisation
IT Development
What is your area of specialisation?
Technology & Telecoms
Location
Singapore
Contract Type
Permanent
Consultant name
Calvin Tan (EA no: 18S9099)
Consultant contact
+65 64169820
Job Reference
JN-072026-7065578

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.