Data Engineer - Data Goverance

Singapore
Mid Level
3+ years
Bachelor's degree
Posted 10 Nov 2026

Skills

Required

data quality
metadata
master data
MySQL / PostgreSQL
table structures
database design standards
Software Engineering
data development
complex data modeling
analytical logic
data lineage
field logic
Python / Shell

Preferred

data governance / database standardization
DataHub / Atlan / Collibra / Great Expectations
tracking design / event modeling / data collection SDK integration
Flink
Doris
Kafka
data processing
data quality tools
Sensors
GrowingIO

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.

About Fuku

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.

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.

Requirements

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.

Preferred

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.