Data Engineer

Ambition; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Ambition in Hong Kong seeks a Senior Data Engineer & Data Platform Lead to design, build, and scale a modern enterprise data platform leveraging Databricks and Microsoft Fabric. This role combines hands-on engineering with data modelling and technical leadership across retail and POS environments.

You will collaborate with stakeholders to translate business goals into scalable data products, drive architecture standards, and mentor engineering teams while delivering reliable, high-performance

Qualifications

• 7+ years of experience in Data Engineering or related fields.
• Proven track record designing enterprise-scale data solutions.
• Experience building modern data platforms and analytics ecosystems.
• Retail/POS or consumer-facing domain experience is a plus.

Responsibilities

• Provide technical leadership for enterprise data platform design.
• Own and evolve data architecture across Databricks and Fabric.
• Drive standards for data engineering, governance, and documentation.
• Translate business objectives into scalable data solutions.
• Design and maintain robust data pipelines for batch and streaming workloads.
• Integrate data from POS, ERP, APIs, and cloud platforms.
• Ensure reliability, performance, and cost efficiency.

Skills

Data engineering

Databricks

Leadership

Data modelling

Streaming data

Tools

Databricks

Microsoft Fabric

Job description

We are seeking an experienced Senior Data Engineer & Data Platform Lead to play a key role in designing, building, and scaling a modern enterprise data platform leveraging Databricks and Microsoft Fabric.

This role combines hands-on engineering, dimensional data modelling, and technical leadership. You will work closely with business stakeholders, analysts, architects, and engineering teams to deliver scalable, high-quality data products that support reporting, analytics, and self-service BI across a retail and POS environment.

The ideal candidate is equally comfortable defining data architecture, developing complex pipelines, optimizing platform performance, and mentoring engineering teams.

Key Responsibilities:

• Provide technical leadership and best-practice guidance for enterprise data platform design and implementation.
• Own and evolve data architecture across Databricks and Microsoft Fabric.
• Drive technical standards for data engineering, modelling, governance, documentation, and operational excellence.
• Partner with business stakeholders to translate business objectives into scalable data solutions.
• Design, build, and maintain robust data pipelines supporting batch, incremental, CDC, and streaming workloads.
• Integrate data from POS, ERP, APIs, cloud platforms, and other enterprise systems.
• Implement scalable ingestion, transformation, and distribution frameworks.
• Optimize workflows for reliability, performance, and cost efficiency.
• Design and maintain dimensional data models, including star and snowflake schemas.
• Develop reusable data products that support reporting, analytics, and self-service BI.
• Ensure data structures align with business processes and analytical requirements.

Data Quality, Performance & Governance

• Establish data quality frameworks, automated testing, lineage, and monitoring capabilities.
• Optimize SQL workloads, Spark jobs, and platform performance.
• Drive metadata management, documentation, and governance practices.
• Support DevOps, CI/CD, and release management processes.
• Mentor engineers and promote engineering best practices.
• Contribute to knowledge sharing and continuous improvement initiatives.
• Collaborate effectively with business analysts, BI developers, solution architects, and platform teams.

Required Experience:

• 7+ years of experience in Data Engineering, Data Platform Development, or related disciplines.
• Proven experience designing and implementing enterprise-scale data solutions.
• Strong experience building modern data platforms and analytics ecosystems.
• Experience working within retail, POS, or consumer-facing business environments is highly desirable.