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Senior Data Engineer - Digital Transformation

Singapore Permanent View Job Description
This senior-level Data Engineer role focuses on designing, optimizing, and governing cloud data pipelines and models on Azure and Databricks to support enterprise-wide analytics and AI initiatives. You will drive data quality, platform reliability, and performance at scale while partnering with business teams to deliver high-impact data solutions.
  • Opportunity to build a cloud data platform on Azure and Databrick
  • Take ownership of high-impact data engineering initiatives

About Our Client

Our client is a leading international organisation operating within a highly regulated, asset-intensive industry. With a global footprint and a strong commitment to digital modernisation, they are investing heavily in building a next‑generation enterprise data platform to support analytics, reporting, and AI-driven decision-making.

Job Description

  • Build, enhance, and maintain scalable data pipelines across enterprise systems using Azure and Databricks.
  • Implement data quality controls and monitoring to ensure accuracy and reliability.
  • Develop and manage data models that support analytics, reporting, and business insights.
  • Drive data governance across cataloguing, lineage, access controls, and compliance.
  • Optimise Delta Lake performance, data workflows, cluster usage, and platform costs.
  • Create and maintain CI/CD pipelines via Azure DevOps and Databricks LakeFlow Jobs.
  • Oversee platform performance, capacity planning, and routine operational housekeeping.
  • Support AI/ML deployment through feature engineering and inference pipeline enablement.
  • Work closely with business teams to clarify requirements and support reporting needs.



The Successful Applicant

  • The ideal candidate has at least 8 years of data engineering experience with strong capabilities in data integration, modelling, governance, and optimisation. You bring hands-on Azure and Databricks expertise, including Delta Lake, Unity Catalog, and advanced PySpark.
  • You are skilled in Python (PySpark) and SQL, with experience across relational and NoSQL databases. You are confident in CI/CD, version control, and automated deployments using Azure DevOps or similar tools.
  • You understand best practices in data security, lineage, metadata, and quality management. Experience supporting AI/ML workflows is advantageous. You work in a structured, collaborative manner and can translate business needs into scalable, reliable engineering solutions.

What's on Offer

  • A senior and influential role shaping a modern cloud-based data platform.
  • Exposure to advanced technologies including Azure, Databricks, Delta Lake, Unity Catalog, and Purview.
  • A stable organisation with strong leadership and long-term digital transformation commitments.
  • Competitive salary, annual bonuses, medical coverage, and funded training/certifications.
  • A collaborative culture where your engineering decisions drive real business impact.
  • Clear career progression and opportunities to lead best practices and platform optimisation.



Contact
Lydia Chen (Lic No: R22108104 / EA no: 18C9065)
Quote job ref
JN-022026-6953990
Phone number
+65 6416 9829

Job summary

Function
Digital
Specialisation
Data Analytics
What is your area of specialisation?
Technology & Telecoms
Location
Singapore
Contract Type
Permanent
Consultant name
Lydia Chen (Lic No: R22108104 / EA no: 18C9065)
Consultant contact
+65 6416 9829
Job Reference
JN-022026-6953990

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.