Data Engineer: Orchestration, ETL & Lakehouse Pipelines

Combuilder Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Combuilder Pte Ltd is seeking a skilled Data Engineer to design and operate data pipelines, focusing on workflow orchestration, data integration, and cloud-based platforms. You will migrate legacy integrations, build robust ETL processes, and contribute to Lakehouse‑style architectures supporting batch and streaming workloads, with emphasis on reliability, scalability, and observability.

Ideal candidates have 3–5 years of relevant experience, strong SQL, Spark, Python, and hands-on cloud

Qualifications

• 3–5 years of relevant data engineering experience.
• Experience with integration platforms and batch/stream processing.
• Proficient in SQL and distributed processing (Spark) with cloud exposure.

Responsibilities

• Migrate and re‑platform existing workflow‑based integrations while preserving parity.
• Design and implement ETL pipelines for reliable data ingestion and quality checks.
• Build and maintain cloud‑based big data pipelines for batch and streaming workloads.
• Develop logs, monitoring, and observability for data workflows.
• Collaborate with multiple teams across DEV/UAT/PROD environments.

Skills

Workflow orchestration

ETL pipelines

SQL

Spark

Python

Cloud platforms

Job description

Combuilder Pte Ltd is seeking a skilled Data Engineer to design and operate data pipelines, focusing on workflow orchestration, data integration, and cloud-based platforms. You will migrate legacy integrations, build robust ETL processes, and contribute to Lakehouse‑style architectures supporting batch and streaming workloads, with emphasis on reliability, scalability, and observability.

Ideal candidates have 3–5 years of relevant experience, strong SQL, Spark, Python, and hands-on cloud