Data Engineer

Techforce Group Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Techforce Group Limited is hiring a data engineer to design, build and operate scalable data pipelines on an Azure-based platform. You will work with Databricks and Python to ingest, transform and deliver enterprise data across multiple domains, while collaborating with analysts and AI teams on advanced analytics use cases.

The role requires 5+ years of data engineering experience, strong SQL and cloud skills, and familiarity with Power BI or similar BI tools.

Qualifications

• 5+ years of experience in data engineering.
• Strong hands-on experience with Databricks.
• Advanced proficiency in Python for data engineering and pipeline development.
• Strong SQL skills with experience working with large-scale datasets.
• Experience working within the Azure Data ecosystem, including services such as Azure Data Factory and cloud storage solutions.
• Experience with Power BI or other BI/reporting tools is advantageous.

Responsibilities

• Build scalable data pipelines to ingest, transform, and deliver enterprise data across multiple domains.
• Develop data solutions with Databricks and Python to process large datasets and support modern data products and reporting.
• Support enterprise transformation initiatives by ensuring data is migrated, transformed, and accessible for business use.
• Partner with business analysts and technical teams to translate requirements into scalable technical solutions.
• Own end-to-end data engineering delivery from requirements to deployment and support.
• Monitor and optimise data processing workloads for reliability, scalability and performance.
• Collaborate on platform best practices to enhance engineering standards and delivery quality.
• Support CI/CD, automation and platform engineering in a modern Azure-based data environment.
• Enable AI and advanced analytics use cases by building quality data foundations for ML/AI initiatives.
• Collaborate with AI engineering teams to prepare and operationalise data assets for AI-powered solutions.

Skills

Data engineering

Tools

Databricks

Python

SQL

Azure Data ecosystem

Power BI

Job description

Join a highly skilled Data & AI team delivering a major enterprise transformation programme across a modern Azure data platform. You'll work alongside experienced engineers and architects in a hands‑on environment where ownership, technical excellence, and continuous innovation are valued.

Contribute to large-scale data initiatives, modernise enterprise reporting capabilities, and build scalable data solutions using Azure, Databricks, and Python within a collaborative and fast‑moving team.

Responsibilities

Build Scalable Data Pipelines: Design, develop, and maintain robust data pipelines that ingest, transform, and deliver enterprise data across multiple business domains.

Develop Data Solutions with Databricks: Leverage Databricks and Python to process large datasets, optimise workflows, and support the delivery of modern data products and reporting solutions.

Support Enterprise Transformation Initiatives: Contribute to large-scale data and reporting transformation programmes, helping ensure data is accurately migrated, transformed, and made accessible for business use.

Partner with Business Stakeholders: Work directly with business users, analysts, and technical teams to understand requirements, challenge assumptions, and translate needs into scalable technical solutions.

Own End-to-End Delivery: Take ownership of data engineering workstreams from requirements gathering and solution design through to development, testing, deployment, and ongoing support.

Improve Data Platform Performance: Monitor and optimise data processing workloads, ensuring high levels of reliability, scalability, and performance across the platform.

Collaborate on Platform Best Practices: Participate in architecture discussions, code reviews, and continuous improvement initiatives to enhance engineering standards and delivery quality.

Contribute to Cloud Data Operations: Support CI/CD, automation, and platform engineering activities within a modern Azure-based data environment.

Enable AI & Advanced Analytics Use Cases: Build and maintain high-quality data foundations that support machine learning, AI initiatives, and advanced analytics across the organisation.

Collaborate with AI Engineering Teams: Work alongside Data Scientists and AI Engineers to prepare, optimise, and operationalise data assets for AI-powered solutions and emerging technologies.

Requirements

5+ years of experience in data engineering.

Strong hands‑on experience with Databricks.

Advanced proficiency in Python for data engineering and pipeline development.

Strong SQL skills with experience working with large-scale datasets.

Experience working within the Azure Data ecosystem, including services such as Azure Data Factory and cloud storage solutions.

Experience with Power BI or other BI/reporting tools is advantageous.

Your application will include the following questions:

• Which of the following statements best describes your right to work in Hong Kong?
• What's your expected monthly basic salary?
• How many years' experience do you have as a data engineer?