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Senior Data Engineer in Malaysia who migrates BI solutions from SQL Server and SSAS to Microsoft Fabric, designing Bronze-Silver-Gold-Platinum medallion layers and developing features across them for scalable BI. Works autonomously within a core team on ongoing development and support.
Leads a team of data engineers to design, build, and optimize data pipelines, delivering a unified pipeline with secure, real-time data flow across internal systems and external applications. Permanent role based in Selangor, Malaysia.
Design, build, and maintain data pipelines and infrastructure supporting data-driven initiatives, collaborating with data scientists, analysts, and business stakeholders. The role is roughly 70% data engineering and 30% AI/agentic development, including building RAG pipelines.
The Senior Data Engineer leads a data engineering team, translating business requirements into technical designs and building scalable, governed data pipelines, lakes, and warehouses across on-premise and cloud infrastructure. Core work spans modern data stack architecture, mentoring juniors, and Databricks is a strong plus.
Senior data engineer (5-8 yrs) designing, building, and optimizing Databricks-based data pipelines, lakehouse, and enterprise data warehouse platforms using PySpark, Delta Lake, and Unity Catalog governance. Also drives CI/CD with GitHub Actions, performance tuning, stakeholder work, and rotating production support, on-site in Kuala Lumpur.
Hands-on technical lead for enterprise cloud data platforms: designing scalable pipelines, data models, DataOps, CI/CD, and production reliability with Snowflake, AWS (S3, Lambda, CloudWatch, SageMaker), Python, SQL, and Airflow. Mentors data engineers and enables self-service analytics. 12-month renewable contract open to Malaysian citizens.
Senior Data Engineer migrating existing BI solutions from SQL Server and SSAS to Microsoft Fabric, then developing and supporting them. Day-to-day work spans Fabric Lakehouses, Warehouses, Pipelines and Notebooks (SparkSQL), T-SQL, DAX/semantic models, PySpark, and Azure DevOps, building a Medallion (Bronze-Silver-Gold-Platinum) architecture.
A Senior Data Engineer in Kuala Lumpur will lead the data engineering team, building scalable, governed data foundations and pipelines for business reporting and analytics. Core work involves Databricks and modern data tooling, mentoring juniors, and collaborating with cross-functional stakeholders.
Senior Data Engineer building and maintaining scalable data pipelines, ETL/ELT, and enterprise Data Warehouse/Lakehouse platforms on Databricks. Day-to-day spans PySpark and SQL development, Delta Lake modeling, Unity Catalog governance, performance tuning, CI/CD with GitHub Actions, and production support.
G-Asiapacific is hiring a data engineer (posted as Senior, described as mid-level with 3–5 years' experience) who designs and builds AWS-based data pipelines, warehouses and lakes (Redshift, S3, Glue, Lambda, Athena, EMR/Spark) using SQL and Python/PySpark. The role blends hands-on engineering with customer-facing consulting: running discovery workshops, supporting presales, and carrying solutions
Senior Data Engineer who migrates existing BI solutions from Microsoft SQL Server/SSAS to Microsoft Fabric and then develops and supports them, working autonomously with a core team. Core stack: Fabric Lakehouses, Warehouses, Pipelines and Notebooks, T-SQL, SparkSQL/PySpark, Power BI semantic models with DAX, and Azure DevOps.
Data Engineer at Mercedes-Benz Tech Malaysia designing, building, and maintaining scalable data solutions on Microsoft Azure. Day to day involves developing ETL/ELT pipelines with Azure Databricks, Data Factory, and Data Lake, implementing data models and governance, and delivering Power BI dashboards for analytics across the value chain.
Supports Chubb's APAC Claims Operations across 11 markets by building automated BAU and ad hoc reporting, reconciling multi-system data, and developing SQL/Python automation pipelines and Power BI/Tableau dashboards for senior leadership, while piloting AI/LLM use cases like anomaly detection and document summarisation.
Contract Data Engineer role in Malaysia (10 years' experience) supporting data engineering initiatives on the Microsoft Azure stack — building solutions with Azure Data Factory, Data Lake Storage, Databricks and Key Vault, developing in SQL/Python, delivering Power BI dashboards, and leading teams and stakeholders in an Agile Scrum/JIRA environment.
A senior, hands-on platform architect role in Kuala Lumpur focused on strengthening the reliability, security, and scalability of enterprise container platforms in the financial services sector. The person leads cross-functional teams across DevOps, Infrastructure, Security, and Application Development in mission-critical production environments.
Contract full-stack developer role building backend services in Golang and frontend interfaces in React.js, with CI/CD and project management handled through Azure DevOps. The job requires 5+ years of full-stack experience, strong hands-on coding, and cross-team collaboration.
A Level 2/Level 3 DevOps consultant who analyzes, develops, tests, deploys, and maintains large-scale enterprise CRM applications (with Pega CRM/BPM training provided), handling change requests, SQL/stored procedure work, SDLC documentation, and production support for financial services clients.
Senior associate full-stack engineer at Standard Chartered building and maintaining credit card systems on the AS400 platform. Day to day: requirements gathering, functional/technical solution design, development, testing, and project delivery in Agile Scrum squads using RPG, CL, PL/SQL, Control-M, Java, Maven, and Git, plus card-industry standards like ISO 8583 and EMV.
Fullstack/backend engineer at Luxoft Malaysia working on cloud backend services for AI-related features of a global smart household-appliance program. The role focuses on the cloud portion of a project spanning embedded software, cloud infrastructure, and mobile app interfaces for high-end appliances.
Senior full-stack engineer designing and delivering scalable AI-powered applications: working across frontend and backend, building APIs, and integrating AI agents and LLM-powered systems. Core stack includes React, Next.js, Node.js, cloud, and CI/CD, with remote collaboration alongside AI R&D teams.
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