AI Full Stack Engineer (Banking, 1-year renewable contract)

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Evolution Recruitment Solutions Pte. Ltd. in Singapore is seeking an experienced Integration Engineer to translate business requirements into robust data flows and implement reliable data movement across enterprise systems.

You will design interfaces, data mappings and transformation rules, while building scripts and APIs to extract, transform and integrate data across upstream and downstream platforms. Collaboration with security, infra and data teams is essential.

Qualifications

• 5–10 years of experience in system analysis, integration engineering, data engineering or technical delivery roles.
• Strong Python and SQL skills for data handling, scripting and troubleshooting.
• Good understanding of frontend technologies such as HTML and Jinja templating.
• Hands-on experience with Celery for asynchronous processing.
• Experience with REST APIs, SFTP, batch processing and data pipeline orchestration.
• Knowledge of data mapping, transformation, aggregation and data quality controls.
• Experience with Kubernetes and OpenShift deployments.
• Familiarity with CI/CD, Jira and Confluence.

Responsibilities

• Analyze requirements and translate into data flows, integration designs and implementation plans.
• Design and implement reliable data movement across systems via REST APIs, SFTP, and batch pipelines.
• Define data contracts, interfaces, mappings and transformation requirements.
• Develop scripts, programs and APIs to extract, transform and integrate data.
• Coordinate integrations across data platforms and data lake environments.
• Ensure data is correctly transformed and delivered with quality controls.
• Prepare data for GenAI use cases: ingestion, enrichment, search and RAG workflows.
• Troubleshoot integration issues across development, testing and production environments.
• Collaborate with application, data, infra and security teams to deliver end-to-end solutions.
• Challenge inefficient designs and propose scalable, maintainable solutions.
• Support SIT, UAT and production deployments with reliable error handling and monitoring.
• Document system flows and data mappings clearly.
• Provide production support including incident investigation and bug fixes.
• Work across stacks including Python, Celery, databases, Docker, Kubernetes/OpenShift and CI/CD.

Skills

Python

SQL

Data flows

REST APIs

CI/CD

Kubernetes

OpenShift

Celery

Git

Jira

Tools

Docker

Kubernetes

OpenShift

Git

CI/CD tooling

Jira

Confluence

Splunk

Elastic Stack

Cloudera

Job description

Dear Applicant,

Please note that visa sponsorship is not available at this time.

Key Responsibilities

• Analyse business and technical requirements and translate them into data flows, integration designs and implementation plans.
• Design and implement reliable data movement across upstream and downstream enterprise systems using REST APIs, SFTP, file-based transfers and batch pipelines.
• Define data contracts, interfaces, mappings and transformation requirements across multiple systems and teams.
• Develop scripts, programs and APIs to extract, transform and integrate data from different systems.
• Coordinate integrations across enterprise data platforms and data lake environments.
• Ensure data is accurately transformed, mapped, aggregated and delivered to target systems with appropriate data quality and reconciliation controls.
• Support GenAI use cases by preparing and integrating structured and unstructured data for document ingestion, enrichment, search and RAG workflows.
• Troubleshoot integration and data movement issues across development, testing and production environments.
• Work closely with application, data platform, infrastructure and security teams to deliver end-to-end solutions.
• Challenge inefficient or unsuitable designs and propose practical, scalable and maintainable solutions.
• Support SIT, UAT and production deployments, ensuring integration reliability, error handling and monitoring.
• Document system flows, data mappings, interfaces and integration processes clearly.
• Provide production support, including incident investigation, troubleshooting, bug fixes, code corrections and application enhancements.
• Troubleshoot across the technology stack, including Python, Celery, databases, Docker, Kubernetes/OpenShift and CI/CD.
• Implement technical enhancements and continuous improvements arising from production issues and operational requirements.

Key Requirements

• 5–10 years of experience in system analysis, integration engineering, data engineering or technical delivery roles.
• Strong Python and SQL skills for data handling, scripting, automation and troubleshooting.
• Good understanding of frontend technologies such as HTML and Jinja templating.
• Hands‑on experience with Celery for asynchronous/background task processing.
• Strong ability to translate requirements into system flows, data flows, interface specifications and implementation plans.
• Practical experience with REST APIs, SFTP, batch processing, file-based integration and data pipeline orchestration.
• Strong understanding of data mapping, transformation, aggregation, reconciliation and data quality controls.
• Experience working across upstream and downstream teams to deliver enterprise integrations.
• Exposure to Java and enterprise data platforms such as Cloudera.
• Hands‑on experience with Git, branching, pull requests, code reviews and controlled release practices.
• Familiarity with CI/CD, Jira, Confluence and enterprise deployment processes.
• Experience deploying and supporting applications on Kubernetes and OpenShift (OCP).
• Experience with Control‑M or equivalent scheduling tools.
• Familiarity with logging and monitoring tools such as Splunk and Elastic Stack.
• Exposure to GenAI concepts, including document ingestion, RAG, embeddings and data preparation for AI workflows.
• Strong communication and stakeholder management skills, with the ability to work across business, application, data, infrastructure and security teams.
• Strong system‑thinking and problem‑solving skills, with the ability to navigate complex enterprise environments and challenge weak designs.