Lead Data Engineer

epergne solutions; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

epergne solutions in Singapore is seeking a Lead Data Engineer to join our team and lead the design, development, and operation of enterprise data platforms. You will oversee scalable data pipelines, ETL/ELT processes, and data integration frameworks.

You will mentor data engineering teams, collaborate with architects and product managers, and establish data contracts, quality standards, and governance to ensure data integrity and reliable analytics.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Minimum 8 years of experience in data engineering, including designing and developing enterprise data platforms.
• Proven experience leading technical teams and delivering large-scale data engineering projects.
• Strong expertise in data pipeline development, ETL/ELT processes, data integration, and data modelling.
• Experience implementing data contracts, data quality frameworks, and data governance best practices.
• Hands‑on experience with modern data platform technologies such as Databricks or equivalent cloud‑based data engineering platforms.
• Proficiency in SQL, Python, Spark, and cloud data services is preferred.
• Excellent leadership, analytical, problem‑solving, communication, and stakeholder management skills.

Responsibilities

• Lead the design, development, implementation, and operational support of enterprise data platforms and data engineering solutions.
• Design and develop scalable data pipelines, ETL/ELT processes, and data integration frameworks.
• Define and implement data contracts, data quality standards, and data validation processes to ensure data integrity.
• Provide technical leadership, mentorship, and guidance to data engineering teams throughout the project lifecycle.
• Collaborate with architects, product managers, and cross-functional teams to deliver reliable and scalable data solutions.
• Develop technical documentation, onboarding guides, operational runbooks, and best practices for data platform operations.
• Monitor and optimize data pipeline performance, reliability, and scalability.
• Support knowledge sharing and capability development within internal engineering teams.

Skills

Data pipelines

Leadership

SQL

Python

Spark

Stakeholder management

Data governance

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Databricks

Job description

Job Role

Lead Data Engineer

Job Location

Singapore

Experience

8+ Years

Roles & Responsibilities

• Lead the design, development, implementation, and operational support of enterprise data platforms and data engineering solutions.
• Design and develop scalable data pipelines, ETL/ELT processes, and data integration frameworks.
• Define and implement data contracts, data quality standards, and data validation processes to ensure data integrity.
• Provide technical leadership, mentorship, and guidance to data engineering teams throughout the project lifecycle.
• Collaborate with architects, product managers, and cross-functional teams to deliver reliable and scalable data solutions.
• Develop technical documentation, onboarding guides, operational runbooks, and best practices for data platform operations.
• Monitor and optimize data pipeline performance, reliability, and scalability.
• Support knowledge sharing and capability development within internal engineering teams.

Skills & Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Minimum 8 years of experience in data engineering, including designing and developing enterprise data platforms.
• Proven experience leading technical teams and delivering large-scale data engineering projects.
• Strong expertise in data pipeline development, ETL/ELT processes, data integration, and data modelling.
• Experience implementing data contracts, data quality frameworks, and data governance best practices.
• Hands‑on experience with modern data platform technologies such as Databricks or equivalent cloud‑based data engineering platforms.
• Proficiency in SQL, Python, Spark, and cloud data services is preferred.
• Excellent leadership, analytical, problem‑solving, communication, and stakeholder management skills.