Meertec
Michael Page · Singapore · 02 Nov 2026
Senior Data Engineer - Digital Transformation
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