About Us

Headquartered and listed in Singapore, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold.  As at 30 June 2024, CLI had S$134 billion of assets under management, as well as S$100 billion of funds under management held via six listed real estate investment trusts and business trusts and a suite of private real asset vehicles that invest in thematic and tactical strategies.  Its diversified real estate asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage and data centres.

Job Description

You will be assisting the Data & AI team in their day-to-day operations, business-as-usual (BAU) processes and other data-related tasks.

Responsibilities

• Build a robust and scalable Enterprise Data Platform for batch/real-time data processing and machine learning model  

• Develop data processing pipelines for ingestion, modelling, analysis, mining and reporting with SQL, Spark, Python, etc 

• Solve technical challenges posted to the Enterprise Data Platform in huge volume, velocity, and business complexity  

• Collaborate with CapitaLand’s infrastructure, Business Analysts, and the Data Science team for data engineering support and development/deployment of machine learning models  

• Support data management projects and perform additional data-related tasks as required 

Requirements

• Preferred studies in Computer Science, Information Systems, Electronical Engineering, or related disciplines

• Strong programming experience in SQL, Python, or Java 

• Possess a strong willingness to learn on the job continuously, embracing new and varied technologies that are centred around all aspects of data management  

• Good to have knowledge on Microsoft stack of analytics products (SQL Server, Azure Data Factory, Azure Databricks, Azure Data Warehouse, Integration Services, Power BI)  

• Experience with Hadoop, Hive and Spark will be advantageous  

• Good collaboration and communication skills to work effectively across teams and partner with business stakeholders  

Closing Statement:

At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.

Only shortlisted candidates will be notified.