Data Engineer
SimplifyNext, Singapore
The role
The Data Engineer designs, builds and deploys scalable data lakehouse platforms for our clients - architecting end-to-end pipelines, establishing data quality frameworks, and delivering production-ready solutions that form the foundation of an organisation's data infrastructure. You will work across modern lakehouse stacks (Databricks, Spark, Microsoft Fabric or AWS) alongside architects, AI engineers and business analysts on the same delivery, not in a separate data silo.
What you need
- Degree in Computer Science, Data Engineering, Information Systems or a related field.
- 4+ years of hands-on experience in data engineering, ETL/ELT development or data platform roles, building and operating production pipelines.
- Strong hands-on experience with at least one modern data platform - Databricks, Apache Spark, Microsoft Fabric or AWS (Glue, Step Functions, Lambda, S3, Redshift).
- Proficiency with open table formats and lakehouse architecture - Apache Iceberg, Delta Lake or S3 Tables - including schema evolution, partitioning and ACID transactions.