Data Engineer

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

Key Responsibilities

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

Requirements and Competencies

• Bachelor Degree in Computer Science, Information Systems, Engineering, or a related discipline
• Minimum 3 years of relevant experience in data engineering or related roles
• Relevant professional certifications (cloud, data, or analytics) are an advantage
• Strong proficiency in SQL and at least one programming language such as Python, Java, or Scala
• Experience with data pipeline and workflow orchestration tools (e.g. Airflow, Prefect, PowerBI or equivalent)
• Hands‑on experience with data warehousing technologies (e.g. Snowflake, BigQuery, Redshift, or similar)
• Familiarity with cloud platforms (AWS, Azure, or GCP), including data storage and processing services
• Experience working with structured and unstructured data
• Understanding of data modelling, schema design, and performance optimisation
• Knowledge of data security, access control, and governance best practices