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

Evolution Recruitment Solutions Pte Ltd; Singapore; On-site; SGD 90,000 - 160,000; Full time

Job summary

Evolution Recruitment Solutions Pte Ltd is seeking a senior data integration engineer in Singapore to translate complex requirements into reliable data flows and integration designs. You will implement data movement across ERP systems, data lakes and enterprise platforms using REST APIs, SFTP and batch pipelines, while ensuring data quality.

You will collaborate with data platform, application, infrastructure and security teams to deliver end-to-end solutions and support GenAI data preparation

Qualifications

• 5-10 years in system analysis, integration engineering or data delivery.
• Strong Python and SQL for data handling and automation.
• Experience with REST APIs, SFTP, batch processing and data pipelines.
• Knowledge of data mapping, transformation and data quality controls.
• Familiarity with CI/CD, Jira/Confluence, and enterprise deployment.
• Proficiency with Kubernetes/OpenShift and cloud data platforms.
• Experience supporting GenAI data prep, ingestion and RAG workflows.

Responsibilities

• Analyse requirements and translate into data flows and integration designs.
• Design and implement data movement across systems via REST, SFTP and batch pipelines.
• Define interfaces, mappings and transformation rules across teams.
• Develop scripts and APIs to extract, transform and integrate data.
• Coordinate integrations across data platforms and data lake environments.
• Ensure data quality, reconciliation and proper delivery to targets.
• Support GenAI use cases with structured/unstructured data prep for AI workflows.
• Troubleshoot integration issues across dev, test and prod.
• Collaborate with application, data, infra and security teams to deliver end-to-end solutions.
• Document flows, mappings and processes; provide production support and enhancements.

Skills

Python

SQL

Data modeling

System thinking

Stakeholder management

Communication

CI/CD

Git

REST APIs

Kubernetes

Tools

Git

CI/CD tools

Jira

Confluence

Kubernetes/OpenShift

OpenShift

Control-M

Splunk

Elastic Stack

Docker

Job description

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.