About Us
The Ascott Limited is a global hospitality company with a portfolio of over 1,000 properties across more than 230 cities in more than 40 countries. Through its diversified brands and lodging platforms, Ascott continues to expand globally through an asset-light operating model that combines hospitality management and investment management.
Ascott is a wholly owned business unit of CapitaLand Investment, one of Asia's leading real asset managers.
The Opportunity
Ascott is building and scaling its Enterprise Data Platform to support analytics, dashboards, and data‑driven decision‑making across the business.
We are seeking a Data Engineer (1–3 years experience) who is eager to work on real enterprise data, learn from experienced engineers, and progressively take ownership of data pipelines, models, and platform components that support senior management and business stakeholders. This role offers hands‑on exposure, strong mentorship, and the opportunity to grow into a senior data engineering role over time.
Responsibilities
Data Engineering & Platform Development
- Design, build, test, and support data pipelines and platform components within Ascott's Enterprise Data Platform
- Assist in the development and maintenance of scalable data architectures to support reporting and analytics
- Support deployment and operational activities for data solutions across environments
Data Modelling, Quality & Reliability
- Help review, develop, and improve data models, structures, and transformation logic
- Monitor and improve data quality, consistency, and reliability in collaboration with senior team members
- Participate in data validation, testing, and issue resolution activities
Data Enablement for Analytics
- Optimize data extraction and retrieval to support analysis, dashboards, reports, and visualizations
- Ensure datasets are well‑structured, documented, and usable by analytics and business teams
Best Practices & Continuous Improvement
- Follow and contribute to data engineering best practices, standards, and guidelines
- Learn and apply principles of data governance, security, and performance optimisation
- Actively participate in continuous improvement of data processes and tooling
Collaboration & Learning
- Work closely with infrastructure, analytics, and application teams to deliver data solutions
- Support data‑related initiatives and projects as required
- Learn from senior engineers and gradually take on more complex responsibilities
Requirements
- Bachelor's degree in Computer Engineering, Computer Science, or a related technical discipline
- 1–3 years of experience in data engineering, data analytics engineering, or data‑focused software development preferred.
- Working knowledge of SQL and at least one programming language such as Python or Scala
- Familiarity with data engineering concepts such as ETL/ELT, data pipelines, and data modelling
- Exposure to big data or distributed data processing technologies (e.g. Spark, Hadoop, Hive)
- Experience or exposure to some of the following will be useful:
- SQL Server
- Azure Data Factory
- Azure Databricks
- Azure Synapse / Data Warehouse
- Power BI / Microsoft Fabric
- Integration Services, Data Quality, or Master Data Services
What We're Looking For
- Strong problem‑solving mindset and attention to data accuracy
- Curiosity and willingness to learn new technologies and frameworks
- Ability to communicate clearly with both technical and non‑technical stakeholders
- Collaborative, proactive, and hands‑on approach
