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Data Engineering Lead
Lead a team to build and maintain Swire Properties’ enterprise data platform, integrating CRM and leasing data to power analytics, AI, and GenAI use cases while ensuring security, compliance, and data quality.
Senior Data Engineer: Databricks & Azure AI Pipelines
Builds and maintains end-to-end data pipelines on Databricks and Azure, enabling analytics solutions and performance metrics for business teams.
Senior Data Engineer
Design and build scalable data pipelines and warehouses, model data for analytics, and ensure reliability and governance across cloud and legacy systems using SQL, Python, and tools like Snowflake, Airflow, and dbt.
Azure Data Engineer
Design and maintain Azure-based ETL/ELT pipelines using Data Factory and Databricks, optimize SQL queries, and implement CI/CD with Azure DevOps.
Data Engineer with WFH flexibility & large project exposure
Builds Azure-based data pipelines and Power BI dashboards for a large Hong Kong property group’s finance analytics platform, transforming raw data into executive reports and insights.
Senior Data Engineer - IC
Senior Data Engineer builds and maintains scalable data pipelines and infrastructure using AWS, Databricks, and Kafka to support analytics and AI initiatives in a large media company.
Assistant Data Engineering Lead
Lead a team to maintain and enhance an Azure-based data platform, building ETL pipelines and ensuring data quality for real-estate analytics and products.
Regional Data Engineering Lead - Hong Kong
Lead a regional data engineering team to build and maintain scalable, secure cloud data pipelines using SQL, Python/Java, Snowflake, Databricks, dbt, and Kafka.
Data Engineering Manager | Regional Role | Perm | 55-65k
Lead a regional data engineering team to design, build, and maintain secure, scalable data pipelines and platforms using SQL, Python, AWS/GCP, Snowflake, Databricks, and Kafka.
Data Engineer
Build and optimize data pipelines using Databricks, SQL, and cloud platforms to support analytics and decision-making in a collaborative environment.
Data Analyst /Data Engineer /Data Architect - Wealth Management
Design and build cloud-based data pipelines (ETL/ELT) using Azure Data Factory and Databricks to support analytics and reporting for a leading APAC securities firm.
Data Engineer Lead
Lead a team to build and maintain ETL pipelines, Azure Data Platform, and data storage infrastructure using PySpark, Python, SQL, and Azure Databricks.
Data Engineer
Senior Data Engineer builds and scales a Databricks- and Microsoft Fabric-based data platform for retail analytics, pipelines, and self-service BI.
EEP - AED - AI & Data - Data Engineer - Hong Kong
Senior Data Engineer builds and operates scalable cloud/on-prem data architectures, pipelines, and models to store, integrate, and secure enterprise data assets for AI and analytics workloads.
Software Engineer(Insurance)
Build and deploy cloud-native microservices in Python/Java on Azure, integrating data models, APIs, and Kubernetes for an insurance-focused tech stack.
Azure Cloud Backend Engineer – Python/Java
Build and enhance production-grade insurance applications using Python or Java, deploying on Azure Kubernetes Service and managing CI/CD workflows with Azure Databricks.
Data Engineering Co-op: SQL, Python & Databricks
Build and maintain data pipelines using SQL, Python, and Spark, assist with Databricks Unity Catalog migration, and analyze usage metrics to improve performance and cost efficiency.
AI Engineer - Hybrid
Build, deploy, and maintain AI/ML models and pipelines using Python, Databricks, MLflow, and Azure AI to deliver business solutions like predictive analytics and Generative AI.
Director, AI and Analytics Sales
Infoverity is a leading systems integrator and global professional services firm driven to simplify and maximize the value of their clients’ information. Founded in 2011, Infoverity provides complementary services for…
Senior Data Platform Engineer - Databricks & Healthcare AI
Lead the architecture of a Databricks-based data platform for 30+ healthcare customers, optimizing streaming/batch workloads, governance, and cost while mentoring engineers and collaborating with ML and product teams.