Remote Data Engineer — Lakehouse & Databricks Pipelines

Ambition; Hong Kong; Remote; HKD 600,000 - 1,000,000; Full time

Job summary

Ambition is seeking a Data Engineer open to remote candidates to support a strategic data transformation programme. You will design scalable data models, develop robust data pipelines and enable business analytics on a modern data platform.

Responsibilities include building enterprise-scale dimensional models, Spark/PySpark pipelines, and Lakehouse architectures while ensuring data quality and stakeholder collaboration for analytics solutions.

Qualifications

• 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.

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.
• Optimize platform performance and support cost-efficiency initiatives.
• Collaborate with business and technical stakeholders to deliver analytics solutions.

Skills

Data modelling

SQL

Spark/PySpark

CI/CD/DevOps

Stakeholder communication

Tools

Databricks

Microsoft Fabric

Delta Lake

Job description

Ambition is seeking a Data Engineer open to remote candidates to support a strategic data transformation programme. You will design scalable data models, develop robust data pipelines and enable business analytics on a modern data platform.

Responsibilities include building enterprise-scale dimensional models, Spark/PySpark pipelines, and Lakehouse architectures while ensuring data quality and stakeholder collaboration for analytics solutions.