A leading financial services provider in Singapore is seeking a Data Engineer to build scalable, cloud-native data platforms. The role involves designing data pipelines and collaborating with various teams to support analytics initiatives. Candidates should have a degree in Computer Science or related field and 3-7 years of experience in data engineering or analytics. The position offers a competitive salary and flexible benefits in a supportive environment.
Qualifications
3–7 years of relevant experience in data engineering, data platforms, or analytics engineering.
Experience with SQL, dbt, Airflow/Dagster, Git, and CI/CD practices.
Strong analytical and problem-solving skills.
Responsibilities
Deliver robust, scalable, and secure data pipelines aligned with group architecture standards.
Partner with Business Units, Analytics, and regional teams to deliver analytics-ready datasets.
Build automated ETL/ELT workflows, data quality checks, monitoring, and scheduling frameworks.
Skills
SQL
Python programming
Data governance
Collaboration skills
Problem-solving skills
Education
Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics or related discipline
Tools
AWS
Apache Iceberg
Spark
Power BI
Job description
A leading financial services provider in Singapore is seeking a Data Engineer to build scalable, cloud-native data platforms. The role involves designing data pipelines and collaborating with various teams to support analytics initiatives. Candidates should have a degree in Computer Science or related field and 3-7 years of experience in data engineering or analytics. The position offers a competitive salary and flexible benefits in a supportive environment.