Data Engineer with WFH flexibility & large project exposure
- Large project scale exposure
- Work from home
- A supportive team culture that values innovation and collaboration
Our client is one of Hong Kong's largest and most established property developers, with a diversified portfolio spanning property development, investment, asset management, hospitality, and infrastructure. As part of a major enterprise-wide data transformation journey, they are expanding their Business Intelligence team and looking for a hands-on BI Analyst to help build the next generation of data and analytics capabilities.
Exciting Project Exposure
Successful candidates will play a key role in the development of a new Finance Analytics Platform, including:
- Enterprise Finance Portal development
- Executive dashboard design and implementation
- Financial reporting across:
- Profit & Loss (P&L)
- Balance Sheet
- Capital Expenditure (Capex)
- Operating Expenditure (Opex)
- Greenfield dashboard design initiative
- Collaboration with senior BI leadership and finance stakeholders
- Fast-paced delivery environment with significant visibility across the organization
Key Responsibilities
- Design, develop and maintain end-to-end data pipelines and ETL processes.
- Collect, cleanse, transform and validate data from multiple business systems.
- Build scalable data models and support data warehouse development.
- Develop interactive Power BI dashboards and reports for business stakeholders.
- Support dashboard design, data visualization and user adoption initiatives.
- Work with Azure-based data platforms including Azure Data Factory, Databricks and Synapse Analytics.
- Collaborate with business users to translate reporting requirements into technical solutions.
- Prepare presentations and management decks to communicate findings and insights.
- Support the organization's adoption of Microsoft Fabric, AI and modern BI technologies.
- 3+ years of experience in Data Engineering, BI Development or Analytics.
- Strong hands-on experience across the entire BI lifecycle:
- Data ingestion
- Data wrangling and transformation
- Data pipeline development
- Data modelling
- Dashboard design and development
- Experience with:
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- Power BI
- Proficiency in SQL and Python/PySpark.
- Familiarity with Microsoft Fabric is an advantage.
- Strong analytical and problem-solving capabilities.
- Detail-oriented with a proactive and hands-on mindset.
- Experience working with finance or enterprise reporting data is a plus.
- Approximately 70% Data Engineer / 30% Business Analyst.
- Enjoys building solutions from the ground up.
- Thrives in a fast-moving project environment.
- Strong attention to detail and commitment to data quality.
Job ID a4VQ8000004pj8rMAA
We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a committed team working with over 6,000 clients across North America, Europe and Asia Pacific.
As an industry leader in talent services, we work with progressive leaders to drive change. That’s the power of true partnership.
TEKsystems is an Allegis Group company.
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