Data Engineer (Databricks & Microsoft Fabric)
Ambition
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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
Tools
Job description
We are partnering with a leading enterprise organization seeking an experienced Data Engineer to support a strategic data transformation programme.
We are partnering with a leading enterprise organization seeking an experienced Data Engineer to support a strategic data transformation programme.
This role will focus on designing scalable data models, developing robust data pipelines and supporting business analytics through a modern data platform environment.
- 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
- Optimize platform performance and support cost-efficiency initiatives
- Collaborate with business and technical stakeholders to deliver analytics solutions
- 5+ years of Data Engineering experience
- Strong expertise in dimensional data modelling
- Hands-on experience with Databricks
- Strong Microsoft Fabric experience
- Advanced SQL skills
- Strong Spark/PySpark development experience
- Experience with Delta Lake and Lakehouse architectures
- Knowledge of CI/CD and DevOps practices
- Strong problem-solving and stakeholder communication skills
- Experience working in enterprise-scale environments
- Exposure to analytics and reporting platforms
- Experience improving performance and platform optimization
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