Data Engineer | Company- Wide Modernization | AI Adoption

Techforce Group Limited; Hong Kong; On-site; HKD 480,000 - 720,000; Full time

Job summary

TechForce is seeking a Data Engineer to join a large-scale data transformation programme. You will design and build a modern Microsoft Fabric data platform, support migration to OneLake, and develop scalable data products that enable analytics, governance and AI-driven initiatives.

You will own the full data lifecycle, work with Microsoft Fabric, Azure, Python and PySpark, and collaborate with business stakeholders to deliver trusted data solutions that drive measurable business value.

Qualifications

• Experience with modern cloud data platforms and data engineering lifecycles.
• Ability to design scalable data pipelines and data products.
• Familiarity with governance, security and data quality practices.
• Strong collaboration with business and technical stakeholders.
• Proficient in Python, SQL and PySpark.

Responsibilities

• Play a key role in shaping a modern cloud data platform.
• Own the end-to-end data engineering lifecycle and data products.
• Work with Microsoft Fabric, OneLake, Azure to drive data transformation.
• Collaborate with stakeholders to deliver data-driven solutions.
• Contribute to an AI-ready data ecosystem with governance and security.

Skills

Cloud data platforms

Data engineering lifecycle

Stakeholder collaboration

Data governance

Tools

Microsoft Fabric

Azure Databricks

Azure Data Factory

PySpark

Job description

TechForce is a leading Technology consulting firm in Asia Pacific. We deploy business analysts, Project Managers and Subject matter experts to large enterprise-grade data-driven projects in the Banking, Insurance and Retail industries. We specialize in data transformation and integration, data analysis and modelling to support our clients' business operations. With a diverse portfolio of projects and a commitment to innovation, we offer an exciting opportunity for aspiring subject matter experts to gain valuable experience and contribute to cutting-edge data solutions

TechForce is looking for a Data Engineer to join a large-scale enterprise data transformation programme within a leading organisation. This role will play a key part in designing and building a modern Microsoft Fabric data platform, supporting the migration of enterprise data workloads into OneLake, and developing scalable data products that enable analytics, governance, andfuture AI-driven initiatives. The successful candidate will work across the full data lifecycle, including data ingestion, transformation, modelling, security, and governance, while collaborating closely with business stakeholders to deliver a robust, enterprise-grade data ecosystem built on Microsoft Fabric and Azure technologies

Key responsibilities

Play a key role in shaping a modern cloud data platform by designing and building scalable Microsoft Fabric solutions that support enterprise-wide analytics, reporting, and future AI initiatives.

Own the end-to-end data engineering lifecycle, developing robust data pipelines, data products, and Medallion architecture layers that transform raw data into trusted business insights.

Work with the latest Microsoft technologies, including Microsoft Fabric, OneLake, Azure, Python, and PySpark, while helping drive the next phase of the organisation's data transformation journey.

Collaborate directly with business and technical stakeholders to understand data requirements, solve complex data challenges, and deliver impactful solutions that create measurable business value.

Contribute to an AI-ready data ecosystem by supporting data governance, security, data quality, and platform best practices that enable trusted and responsible use of enterprise data.

Requirements

Experience working with Microsoft Fabric, Azure Data Services, Databricks, or other modern cloud data platforms, with a strong interest in building scalable data solutions.

Hands-on experience developing data pipelines, ETL/ELT processes, or data integration solutions using tools such as Fabric, Azure Data Factory, Databricks, or similar technologies.

Familiarity with Python, SQL, PySpark, or related data engineering technologies, with the ability to work with large and complex datasets.

Understanding of data modelling, data warehousing, or Medallion architecture concepts, with an interest in delivering well-structured and reliable data products.

Strong communication and collaboration skills, with the ability to work effectively across technical and business teams and contribute to a growing data-driven culture.