Save Job Back to Search Job Description Summary Similar JobsSuperb remuneration package and benefitsWork with cutting-edge Databricks technologies at enterprise scaleAbout Our ClientOur client is a leading multinational technology organisation with a strong global presence and a reputation for delivering innovative digital and enterprise solutions. As part of its continued investment in data and analytics capabilities, the organisation is expanding its data engineering function to support large-scale transformation initiatives, advanced analytics, and AI-driven business outcomes.Job DescriptionDesign, develop, and maintain scalable data pipelines and data products using Databricks and PySpark.Build and optimize ETL/ELT frameworks supporting batch and near real-time processing.Develop enterprise Data Warehouse and Lakehouse solutions for analytics, reporting, and AI/ML use cases.Create and maintain dimensional data models including Fact and Dimension tables, Star Schema, Snowflake Schema, and Slowly Changing Dimensions (SCD).Ensure high standards of data quality, security, scalability, and platform performance.Implement Databricks governance solutions including Unity Catalog, RBAC, ABAC, data lineage, auditing, and secure data sharing frameworks.Drive platform optimization through advanced PySpark tuning, workload management, cluster optimization, and cost efficiency initiatives.Design and implement CI/CD pipelines, deployment automation, and DevOps best practices for Databricks environments.Collaborate with business stakeholders, architects, analysts, and technology teams to deliver scalable data solutions.Provide technical guidance to team members and participate in production support and incident management activities.The Successful ApplicantA successful Senior Data Engineer should have:Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.Minimum 8 years of experience in Data Engineering, Data Warehousing, or Big Data environments.At least 4 years of hands-on experience with Databricks in enterprise-scale implementations.Strong expertise in PySpark, Data Lake, Delta Tables, ETL/ELT development, and modern Lakehouse architectures.Proven experience in designing enterprise Data Warehouse solutions and dimensional data models.Solid understanding of data governance, security frameworks, data lineage, and access control models.Experience implementing CI/CD pipelines, GitHub integration, and DevOps automation practices.Excellent stakeholder management and communication skills with the ability to translate business requirements into technical solutions.Strong analytical and troubleshooting capabilities with experience supporting mission-critical data platforms.What's on OfferCompetitive annual salary ranging from MYR 120,000 to MYR 180,000.Opportunity to shape and influence an enterprise-scale modern data platform.Exposure to the latest Databricks ecosystem technologies and data governance frameworks.High-impact role supporting advanced analytics, business intelligence, and AI/ML initiatives.Collaborative environment working alongside experienced data, architecture, and technology teams.Strong career progression opportunities within a growing and data-driven organisation.Competitive remuneration package and comprehensive employee benefits.If you are ready to move forward in your career as a Senior Data Engineer, we encourage you to apply.ContactKaylee HoQuote job refJN-092026-7098533Phone number+60323024062Job summaryFunctionITSpecialisationIT Data AnalysisWhat is your area of specialisation?Technology & TelecomsLocationSelangorContract TypePermanentConsultant nameKaylee HoConsultant contact+60323024062Job ReferenceJN-092026-7098533