Application Support Engineer – Data & Integration Support

ARGYLL SCOTT CONSULTING PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ARGYLL SCOTT CONSULTING PTE. LTD.

in Singapore is seeking a mid-level Application Engineer to design, develop and maintain data pipelines and integrations for a client reporting and investment technology project. You will work with business analysts and stakeholders to translate requirements into robust technical solutions, provide BAU support, enhancements and production support for critical data platforms.

Qualifications

• 5+ years of experience in Application Support or Data Engineering.
• Strong hands-on Python and SQL development.
• Experience with data pipelines, integrations, transforms and quality checks.
• Production support and incident response experience.
• Ability to work with business and technology stakeholders.
• Excellent communication and a proactive mindset.

Responsibilities

• Design, build and maintain scalable data pipelines, integrations and data solutions.
• Translate business and data requirements into technical solutions with stakeholders.
• Develop and support data ingestion, transformation, validation and reconciliation processes.
• Investigate production incidents, perform root-cause analysis and implement fixes.
• Monitor system and pipeline performance; identify optimization and automation opportunities.
• Support testing, releases and ongoing BAU activities.
• Maintain technical documentation including data flows, mappings and runbooks.

Skills

Python

SQL

Data pipelines

Data integrations

Data transformation

Data quality

Troubleshooting / production support

Stakeholders communication

Job description

• Application Engineer – Data & Integration Support
• 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.