Data Platform Engineer

Join a global organization that delivers large-scale technology, data, and AI solutions to enterprise clients across industries. You’ll be part of a team building modern data platforms that power analytics and business decisions.

What you’ll do:Build and manage data pipelines from multiple sources (databases, APIs, files, streaming)Develop ETL/ELT workflows using SQL and PythonEnsure data is reliable, scalable, and ready for reporting and analyticsWork with databases (Oracle, SQL Server, PostgreSQL, DB2) for data processing and optimizationSupport data modeling and improve data structures for reportingMonitor data quality, troubleshoot issues, and handle production incidentsPartner with analysts, BI teams, and stakeholders to deliver data solutionsContribute in Agile delivery (planning, estimation, execution)

What we’re looking for:At least 2 years of experience in data engineering or similar rolesStrong skills in SQL, Python, and Tableau and relational databases (Oracle, DB2, SQL Server, PostgreSQL).Experience working with ETL pipelines and relational databasesBackground in data modeling and data quality practicesExposure to tools like Kafka, Spark, or similar data streaming technologies is a plusFamiliar with BI tools (Tableau, Qlik, Power BI) and cloud data platformsComfortable working in fast-paced, production environments

If you’re interested in building data systems that drive real impact, let’s connect.

This is a 12-month contract role based in Singapore.