Data Engineer: Databricks & Fabric Lakehouse

Ambition; Hong Kong Island; On-site; HKD 600,000 - 900,000; Full time

Job summary

Ambition in Hong Kong seeks an experienced Data Engineer to support a strategic data transformation programme. You will design scalable data models, build robust data pipelines, and empower analytics on a modern data platform.

Key tech includes Databricks, Microsoft Fabric, Spark/PySpark, and Delta Lake. You will collaborate with stakeholders to deliver enterprise-grade Lakehouse and Warehouse architectures, ensuring data quality and CI/CD readiness.

Qualifications

• 5+ years of Data Engineering experience.
• Strong expertise in dimensional data modelling.
• Hands-on Databricks experience.
• Experience with Delta Lake and Lakehouse architectures.
• Proficient in SQL and Spark/PySpark.
• Knowledge of CI/CD and DevOps practices.
• Excellent stakeholder communication.

Responsibilities

• Design and maintain enterprise-scale dimensional data models.
• Develop Spark/PySpark data pipelines for batch and incremental processing.
• Build and optimize data solutions within Databricks and Microsoft Fabric.
• Design scalable Lakehouse and Warehouse architectures.
• Perform complex SQL development, transformation and validation.
• Implement data quality monitoring and automated testing frameworks.
• Maintain documentation, metadata management and lineage tracking.
• Collaborate with business and technical stakeholders to deliver analytics solutions.

Skills

Dimensional data modelling

Databricks

Spark/PySpark

Microsoft Fabric

SQL

Data pipelines

CI/CD

Data quality monitoring

Metadata management

Lakehouse architectures

Tools

Delta Lake

CI/CD tooling

Job description

Ambition in Hong Kong seeks an experienced Data Engineer to support a strategic data transformation programme. You will design scalable data models, build robust data pipelines, and empower analytics on a modern data platform.

Key tech includes Databricks, Microsoft Fabric, Spark/PySpark, and Delta Lake. You will collaborate with stakeholders to deliver enterprise-grade Lakehouse and Warehouse architectures, ensuring data quality and CI/CD readiness.