Data Engineer

Hybrid role

Role Description
Client is undergoing a digital transformation to modernize its enterprise data platform across Capital Markets and Nikko Securities. As part of this initiative, we are seeking an experienced Data Governance / Data Quality Engineer to support the design and implementation of data governance, data quality, and lineage solutions using Collibra and Azure-based platforms.
This role will work closely with Data Strategy, Business, and Data Engineering teams to ensure high-quality, governed, and trusted data across key domains such as Reference data, Market data and Operational data.

Role Objectives
Support enterprise data governance and data quality initiatives across critical data domains
Implement and enhance Collibra-based governance and DQ capabilities
Ensure data quality, lineage, and metadata management are embedded into the data platform
Collaborate with cross-functional teams to deliver scalable, governed data solutions

Key Responsibilities
Develop and maintain data quality rules using Collibra DQ
Implement and manage data governance assets (business glossary, data catalog, stewardship workflows)
Support data lineage mapping across systems and pipelines
Perform data profiling, validation, and issue analysis using SQL
Integrate Collibra with Azure data platform (ADF, Databricks, Data Lake)
Develop automation and utilities using Python or similar languages
Collaborate with Data Owners and Engineers to define and enforce DQ controls
Ensure code promotion using CI/CD, version control (Git), and deployment best practices
Maintain documentation and governance artifacts in tools like Confluence and repositories
• Experience in financial services industry, financial instruments, asset classes and market data are a plus.