Data Engineer: Scalable Pipelines, Data Lakes & Real‑Time Data

ETHOZ CAPITAL LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ETHOZ CAPITAL LTD. is hiring a data engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes in a cloud environment. You will build architectures including data lakes, warehouses, and streaming systems, ensuring data quality and governance while collaborating with data scientists, analysts, and software engineers.

The role focuses on optimizing storage, performance, and cost, with exposure to PDPA compliance and cross-functional analytics initiatives in Singapore.

Qualifications

• Bachelor degree in CS, IS, engineering, or related field.
• Minimum 3 years of data engineering experience.
• Certifications in cloud/data analytics are an advantage.

Responsibilities

• Design, develop, and maintain robust data pipelines and ETL/ELT processes.
• Build data architectures including data lakes, data warehouses, and real-time streaming systems.
• Integrate data from multiple sources ensuring accuracy and timeliness.
• Collaborate with data scientists, analysts, and engineers to support analytics and BI use cases.
• Optimise storage, processing performance, and cost efficiency.
• Implement data quality checks, monitoring, and documentation.
• Ensure data governance, security, and PDPA compliance.
• Troubleshoot data issues and provide operational support.
• Participate in system design reviews and knowledge sharing.

Skills

SQL

Python

Java

Scala

ETL/ELT pipelines

Data modelling

Performance optimisation

Data governance

Cloud platforms

Education

Bachelor Degree in Computer Science, Information Systems, Engineering, or a related discipline

Tools

Airflow

Prefect

PowerBI

Snowflake

BigQuery

Redshift

Job description

ETHOZ CAPITAL LTD. is hiring a data engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes in a cloud environment. You will build architectures including data lakes, warehouses, and streaming systems, ensuring data quality and governance while collaborating with data scientists, analysts, and software engineers.

The role focuses on optimizing storage, performance, and cost, with exposure to PDPA compliance and cross-functional analytics initiatives in Singapore.