Bilingual Data Engineer | Investment Data Platform

Join a global data team responsible for managing critical investment and fund-related data used across multiple business functions and regions. This role combines data operations, ETL monitoring, data quality management, and hands-on SQL support within a collaborative financial services environment.

Client Details

Our client is a well-established investment management organization with a global focus on fund, portfolio, and financial data management. The company operates sophisticated data platforms supporting investment operations, analytics, and reporting across international teams.

Description

• Manage incoming data feeds and monitor daily ETL batch processing activities.
• Investigate and resolve operational and data-related issues in a timely manner.
• Monitor data events and ensure accurate processing and delivery.
• Maintain high standards of data quality, integrity, and consistency.
• Perform data operations through enterprise Data Warehouse platforms, including:
  • Process monitoring
  • Exception handling
  • Master data management
  • User access administration
• Support ongoing data management and system enhancement projects.
• Create and maintain operational and technical documentation.
• Review, maintain, and implement changes to SQL and Python scripts.
• Collaborate with internal stakeholders to ensure smooth delivery of investment-related data.

Job Offer

• Primarily remote work with occasional office attendance when required.
• Opportunity to support globally utilized investment data platforms.
• Exposure to SQL, ETL, Python, master data management, and enterprise data governance practices.
• Collaborative international working environment.

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Serena Wu on +81 3 6627 6137.

• 5+ years of experience working with Microsoft Windows-based environments.
• 3+ years of experience in data operations, database maintenance, or related data management functions.
• Strong working knowledge of SQL and relational databases.
• Experience supporting ETL processes and data quality controls.
• Advanced Microsoft Excel skills.
• Python knowledge is advantageous.
• Experience with EDM and/or MDM solutions is beneficial.
• Financial services experience is preferred, particularly exposure to:
  • Fund data
  • Account data
  • Portfolio data
  • Investment operations data
• Interest in or familiarity with generative AI technologies is an advantage.
• Business-level Japanese (N1/N2 equivalent).
• Business-level or lower business-level English communication skills.
• Ability to work independently while collaborating effectively with stakeholders.
• Strong sense of ownership, responsibility, and continuous learning.