Data Engineer | Company- Wide Modernization | AI Adoption

Salary: $30,000 – $40,000 per month

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, and future 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.