Data Engineer | Data & AI

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

Job summary

Techforce Group Limited is seeking a data engineer to join a skilled Data & AI team delivering a major enterprise transformation on a modern Azure data platform. You will work with engineers and architects in a hands-on environment where ownership and continuous innovation are valued.

In this role you will build scalable data pipelines, leverage Databricks and Python to process large datasets, and partner with business stakeholders to translate requirements into robust data solutions that enable

Qualifications

• 5+ years of experience in data engineering.
• Hands-on Databricks expertise.
• Advanced Python for data pipelines.
• Strong SQL skills with large datasets.
• Experience with Azure Data services.

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.

Skills

Databricks

Python

SQL

Tools

Azure Data Factory

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.