Integration Engineer sn

Responsibilities
We are looking for a Data & Integration Engineer who operates effectively at the intersection of system analysis, enterprise integration and data engineering to support GenAI initiatives.

The successful candidate will:

. Understand business and functional requirements

. Translate them into data flows and integration designs

. Work across upstream and downstream systems

. Ensure reliable movement, transformation and availability of data for GenAI use cases

. Develop scripts / programs to get data from different integration systems

. Develop APIs to integrated with relevant systems.

The focus is on getting data into the right place, in the right format, reliably.

What Matters Most

. Strong system thinking and ability to understand end to end flows

. Ability to challenge bad designs and propose better ones

. Strong stakeholder communication

. Hands on enough to troubleshoot and implement, but not a pure coder

. Experience navigating messy enterprise ecosystems

Key Responsibilities
1. System Analysis & Design

• Analyse business/technical requirements and translate them into data flows and integration designs
• Work with upstream and downstream teams to define data contracts and interfaces
• Identify gaps, inefficiencies and risks in current data movement processes
• Propose pragmatic solutions balancing speed, quality and maintainability

2. Integration & Data Movement

• Design and implement data movement across systems using:

• APIs SFTP and file-based transfers

  Batch pipelines

• Coordinate integrations across systems in the DataLake ecosystem (Informatica, Cloudera, etc.)
• Ensure data is correctly transformed, mapped and delivered to target systems
• Troubleshoot integration issues across environments

3. Data Preparation for GenAI

• Support data ingestion and preparation for GenAI use cases:

• document ingestion

  data aggregation

  enrichment and transformation

• Work with structured and unstructured data
• Ensure data is usable for downstream AI workflows (RAG, search, investigation flows)

You are not asking them to build models, just make data usable for them.

4. Delivery & Coordination

• Work across multiple teams:

• data platforms

  application teams

  infrastructure

  security

• Support SIT, UAT and production rollouts
• Ensure integration reliability, error handling and monitoring
• Document flows, mappings and interfaces clearly

Requirements
. 5-10 years of experience in system analysis, integration engineering, data engineering or technical delivery roles.

. Strong ability to translate requirements into system flows, data flows, interface specifications and implementation plans.

. Experience working with upstream and downstream teams to define and deliver enterprise integrations.

. Practical experience with REST APIs, SFTP, batch processing, file based integration and data pipeline orchestration.

. Good understanding of data mapping, transformation, aggregation, reconciliation and data quality controls.

. Good SQL skills and basic to moderate Python skills for data handling, scripting, automation and troubleshooting.

. Exposure to Java

. Exposure to Informatica, Cloudera or similar enterprise data platforms.

. Working knowledge of Git, branching, pull requests, code reviews and controlled release practices.

. Familiarity with CI/CD, Jira, Confluence and enterprise deployment processes.

. Experience with Control M or equivalent scheduling tools.

. Familiarity with logging (OTEL) and monitoring tools such as Splunk Elastic Stack.

. Exposure to GenAI concepts such as document ingestion, RAG, embeddings and data preparation for AI workflows.

. Working experience with Informatica is preferable. Strong communication skills, with the ability to challenge weak designs and coordinate across business, application, data, infrastructure and security teams.

. Data Engineering,

. System Integrations,

. Python, SQL, Informatica

What you need to do now

If you're interested in this role, click apply now to forward an up-to-date copy of your CV, or call Shabnam at Hays on +65 60271964 or email [Confidential Information] for a confidential discussion.

Referrals are welcome.

Registration ID No. R1873584 | EA License number: 07C3924 | Company Registration No. 200609504D