Data Engineer - Data Goverance

Hytech; Singapore; Presencial; SGD 90.000 - 150.000; Jornada completa

Descripción de la vacante

Hytech is seeking a data governance enthusiast to help build our company’s data governance framework. You will collaborate with backend engineers, product managers, and data analysts to drive database standardization, data quality, and data lineage initiatives.

You will act as a data guardian ensuring data is clear, organized, and trustworthy across our fintech and financial services projects. This role emphasizes scalable cataloging, policy-driven quality checks, and cross-team alignment.

Formación

• Bachelor’s degree or above in Computer Science, Software Engineering, or related data disciplines.
• 3+ years of experience in data development, preferably with hands-on experience in complex data modeling and analytical logic within industries such as finance, insurance, or securities.
• Solid understanding of metadata, master data, data quality, and data lineage concepts.
• Familiarity with MySQL/PostgreSQL, able to understand table structures, field logic, and database design standards.
• Proficient in Python/Shell, capable of configuring DataHub scans or writing Great Expectations (GE) data quality rules.

Responsabilidades

• Utilize data governance tools such as DataHub or Collibra to scan and manage metadata from databases (e.g., MySQL) and build an enterprise-level data catalog.
• Define and implement automated data quality rules using data quality tools to ensure the reliability and availability of core data.
• Design, implement, and validate tracking strategies (using tools like Sensors Data, GrowingIO, or in-house systems) across business modules to ensure that tracking data is accurate and traceable.
• Participate in creating and promoting database design standards (naming conventions, indexes, comments, table structures, etc.) to improve development consistency.
• Classify business databases, label primary/replica/sensitive tables, and establish a Master Data (Golden Source) system.
• Collaborate with product, engineering, analytics, and compliance teams to align on field definitions and data metrics, ensuring that governance practices are embedded into the development process.

Conocimientos

Data governance

Data modeling

Analytical reasoning

Metadata concepts

Team collaboration

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

DataHub

Collibra

Great Expectations

MySQL

PostgreSQL

Python

Shell

Descripción del empleo

About Hytech

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

About Hytech

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies. With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, and more.

About The Role

We are looking for a data enthusiast who is passionate about databases to join us as a key contributor in building our company’s data governance framework. You will work closely with backend engineers, product managers, and data analysts from various business units to drive database standardization, data visualization, and data reliability initiatives. You are not just a developer — you are a “data guardian” who ensures that data is clear, organized, and trustworthy.

Key Responsibilities

• Utilize data governance tools such as DataHub or Collibra to scan and manage metadata from databases (e.g., MySQL) and build an enterprise-level data catalog.
• Define and implement automated data quality rules using data quality tools to ensure the reliability and availability of core data.
• Design, implement, and validate tracking strategies (using tools like Sensors Data, GrowingIO, or in-house systems) across business modules to ensure that tracking data is accurate and traceable.
• Participate in creating and promoting database design standards (naming conventions, indexes, comments, table structures, etc.) to improve development consistency.
• Classify business databases, label primary/replica/sensitive tables, and establish a Master Data (Golden Source) system.
• Collaborate with product, engineering, analytics, and compliance teams to align on field definitions and data metrics, ensuring that governance practices are embedded into the development process.

Qualifications

• Bachelor’s degree or above in Computer Science, Software Engineering, or related data disciplines.
• 3+ years of experience in data development, preferably with hands-on experience in complex data modeling and analytical logic within industries such as finance, insurance, or securities.
• Solid understanding of metadata, master data, data quality, and data lineage concepts.
• Familiarity with MySQL/PostgreSQL, able to understand table structures, field logic, and database design standards.
• Proficient in Python/Shell, capable of configuring DataHub scans or writing Great Expectations (GE) data quality rules.

Nice to Have

• Experience in data governance or database standardization projects.
• Experience in tracking design, event modeling, or data collection SDK integration.
• Knowledge of tools such as DataHub, Atlan, Collibra, or Great Expectations.
• Familiarity with Flink, Doris, Kafka, or other data processing frameworks.