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Experienced Data Engineer
Design and build modern data pipelines and cloud-native analytics solutions for enterprise clients using Python, SQL, Snowflake, Databricks, and cloud platforms like Azure or AWS.
Data Engineer
Build and maintain cloud-native data pipelines and platforms for clients using Python, SQL, Snowflake, Databricks, and CI/CD, while collaborating with cross-functional teams to deliver analytics solutions.
Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines on Databricks using Python, PySpark, and SQL to support business decisions and governance.
Data Engineer
Build and maintain scalable data pipelines and products on Databricks using Python, PySpark, and SQL to support business decisions and data governance.
Data Engineer
Build and maintain scalable ELT pipelines and data infrastructure in Amazon Redshift to power analytics for EV charging events, subscriptions, and financial transactions.
Senior Data Engineer: Databricks, Pipelines & Data Modeling
Senior Data Engineer builds and optimizes Databricks-based ETL pipelines and dimensional models to power analytics and decision-making across Copenhagen Airports.
Data Engineer
Build and maintain scalable data pipelines and products on Databricks using Python, PySpark, and SQL to support business decisions.
Senior Specialist AI Engineer (MLOps)
Build and maintain MLOps pipelines to deploy, monitor, and scale AI/ML models in production on Azure, ensuring reliability, security, and continuous improvement for DKSH’s AI systems.
Senior Manager, AI & Analytics
This role sits within the Marketing function of Manulife Insurance Berhad and partners closely with business leaders to identify, shape and deliver AI-enabled opportunities that improve employee productivity,…
Specialist Data Intelligence (Data Scientist)
Build and deploy ML models, predictive analytics, and AI-powered apps to drive data-driven decisions across DKSH’s markets using Python, SQL, and frameworks like Scikit-learn and XGBoost.
Senior Data Engineer - Marketing Analytics & BI
Senior Data Engineer builds and maintains marketing analytics pipelines in BigQuery/Snowflake/Databricks and delivers BI dashboards in Looker Studio/Power BI/Tableau for enterprise clients.
Data & AI Engineer (Deputy Manager)
Design and build enterprise-scale data pipelines, AI models, and analytics platforms to drive data-driven decisions and digital transformation in a regulated financial services company.
Associate Director, Data & AI Architect
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
Data Engineer (Power BI, Data Engineering, SQL)
Build and maintain data pipelines, warehouses, and Power BI dashboards for Mercedes-Benz’s analytics and reporting needs using SQL, Python, and cloud platforms.
Senior Fabric Data Engineer - Build Scalable Pipelines
Senior Data Engineer builds scalable Azure Fabric pipelines using PySpark, SQL, and Databricks to deliver real-time data for analytics and AI workloads.
Data Engineer - Snowflake / Pricing Analytics
Build and maintain Snowflake-based data warehouses and pricing analytics pipelines, using Databricks SQL and ETL tools to deliver scalable SaaS solutions.
Pricing Analytics Data Engineer - Snowflake
Build and maintain Snowflake and Databricks SQL data pipelines, configure packaged software, and support application releases for a Southeast Asia client.
Senior Data Engineer [up to RM 17k]
Design and build scalable ETL pipelines, migrate legacy data to Azure, and model databases for a fintech firm using SQL, Oracle, and Azure services.
Data Scientist (with Image processing exp)
Build and deploy computer-vision models and analytics pipelines in Python/SQL, using cloud/big-data tools to extract insights from image data for R&D projects.
Data Scientist – Enterprise AI Solutions
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.