Temenos Data Source Engineer | Data Integrity

Michael Page Singapore; Singapore; On-site; SGD 100,000 - 123,000; Part time

Benefits offered by this job

Leaves

Medical benefits

Job summary

Michael Page Singapore is seeking a Temenos Data Source Developer for a temporary role in Singapore within the financial services sector.

You will develop and maintain data source solutions using Temenos technologies, ensure data integrity, and collaborate with the technology team on data projects to improve efficiency.

Responsibilities include testing, documentation, monitoring data quality, and providing technical support to data source functionalities to meet industry standards.

Qualifications

• Proficiency in Temenos technologies and data source development.
• Strong technical skills in managing and maintaining data solutions.
• Experience in the financial services sector preferred.
• Attention to detail and commitment to data accuracy.
• Ability to work collaboratively within a technology team.
• Good problem-solving and analytical skills.

Responsibilities

• Develop and maintain data source solutions using Temenos technologies.
• Ensure the integrity and accuracy of data within the system.
• Collaborate with the technology team to implement data-related projects.
• Optimise data processes to enhance system efficiency and performance.
• Provide technical support for data source functionalities.
• Monitor and resolve data-related issues promptly.
• Document processes and ensure compliance with industry standards.
• Assist in testing and validation of data solutions.

Skills

Temenos technologies

Data source development

Financial services experience

Attention to detail

Collaboration within technology team

Problem solving & analytics

Job description

Michael Page Singapore is seeking a Temenos Data Source Developer for a temporary role in Singapore within the financial services sector.

You will develop and maintain data source solutions using Temenos technologies, ensure data integrity, and collaborate with the technology team on data projects to improve efficiency.

Responsibilities include testing, documentation, monitoring data quality, and providing technical support to data source functionalities to meet industry standards.