Application Support Engineer – Data & Integration Support

Argyll Scott; Singapore; On-site; SGD 90,000 - 120,000; Part time

Job summary

Argyll Scott in Singapore is seeking a mid-level Application Engineer to design, develop and maintain data pipelines and integration solutions for a key Client Reporting / Investment Technology project. The role also provides BAU support, enhancements and production support for critical data platforms.

The contract is for 12 months with potential extension. You will work closely with analysts and stakeholders to translate requirements into technical designs, with a focus on reliability,

Qualifications

• Minimum 5 years of experience in Application Support, Data Engineering or Data/Application Development.
• Strong hands-on experience in Python and SQL.
• Experience with data pipelines, integrations, data transformation and data quality.
• Strong troubleshooting and production support experience.
• Ability to work closely with business and technology stakeholders.
• Good communication skills and a proactive, adaptable mindset.

Responsibilities

• Design, build and maintain scalable data pipelines, integrations and data solutions.
• Work closely with Business Analysts and stakeholders to translate business and data requirements into technical solutions.
• Develop and support data ingestion, transformation, validation and reconciliation processes.
• Investigate production incidents, perform root-cause analysis and implement fixes and enhancements.
• Monitor system and pipeline performance and identify opportunities for optimisation and automation.
• Support testing, change implementation, production releases and ongoing BAU activities.
• Maintain technical documentation, including data flows, mappings, interface specifications and operational runbooks.

Skills

Python

SQL

Data pipelines

Data integration

Troubleshooting

Stakeholder communication

Job description

• Contract: 12 months, with the possibility of extension.

We are looking for a mid-level Application Engineer to support a key Client Reporting / Investment Technology project. This role will focus on designing, developing and maintaining data pipelines and integration solutions, while also providing BAU support, enhancements and production support for critical data platforms.

Key Responsibilities:

• Design, build and maintain scalable data pipelines, integrations and data solutions.
• Work closely with Business Analysts and stakeholders to translate business and data requirements into technical solutions.
• Develop and support data ingestion, transformation, validation and reconciliation processes.
• Investigate production incidents, perform root-cause analysis and implement fixes and enhancements.
• Monitor system and pipeline performance and identify opportunities for optimisation and automation.
• Support testing, change implementation, production releases and ongoing BAU activities.
• Maintain technical documentation, including data flows, mappings, interface specifications and operational runbooks.

Requirements:

• Minimum 5 years of experience in Application Support, Data Engineering or Data/Application Development.
• Strong hands‑on experience in Python and SQL.
• Experience working with data pipelines, integrations, data transformation and data quality.
• Strong troubleshooting and production support experience.
• Ability to work closely with both business and technology stakeholders.
• Good communication skills and a proactive, adaptable mindset.