About Us
Since pioneering Asia Pacific’s first international-class serviced residence with the opening of The Ascott
Singapore in 1984, Ascott has grown to be a trusted hospitality company with over 950 properties globally.
Headquartered in Singapore, Ascott’s presence extends across more than 230 cities in over 40 countries in Asia Pacific, Central Asia, Europe, the Middle East, Africa, and the USA.
Its diversified accommodation offerings span serviced residences, coliving properties, hotels and independent senior living apartments. Ascott's award-winning hospitality brands include Ascott, Citadines, lyf, Oakwood, Somerset, The Crest Collection, The Unlimited Collection, Fox, Harris, POP!, Preference, Quest, Vertu and Yello. Through Ascott Star Rewards (ASR), Ascott’s loyalty programme, members enjoy exclusive privileges and offers at participating properties.
A wholly owned business unit of CapitaLand Investment Limited, Ascott is a leading vertically-integrated
lodging operator. Harnessing its extensive network of third-party owners and in-market expertise, Ascott
grows fee-related earnings through its hospitality management and investment management capabilities.
The Opportunity
This headcount will play the part of a Data Engineer to build and design our Enterprise Data Platform for optimal data retrieval to facilitate the development of dashboards and other visualizations for our Senior Management and business stakeholders.
Responsibilities:
- To design, build and test deployment & operation phases of Lodging’s Enterprise Data Platform for current and future projects.
- Review, construct or re-structure, test and maintain data architecture
- Review and establish best practices for data management, reporting and security
- Improve data foundational procedures, guidelines and standards
- Evaluate datasets and identify ways to improve data reliability, efficiency and quality
- Comprehend, design, acquire and manage organizational datasets that support analytics to achieve business goals
- Optimize data retrieval to facilitate development of dashboards and other visualizations for stakeholders
- Coordinate with internal infrastructure teams to complete planned tasks and problem-solving where necessary
- Support data management projects when needed and perform additional data related tasks
Requirements:
- Degree in Computer Engineering or other relevant technical disciplines
- At least 3 years of data engineering or data application software engineering experience
- Experience in object-oriented design, coding and test patterns as well as experience in engineering software platforms and large-scale data infrastructure
- Hands-on working experience with big data systems (Hadoop, HDFS, Hive, Spark)
- Extensive knowledge in SQL, Scala and Python programming languages
- Experienced in Microsoft stack of analytics products (SQL Server, Azure Data Factory, Azure Databricks, Azure Data Warehouse, Integration Services, Data Quality, Master Data Services, Power BI, Fabric)
