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 Shabnam.Bahar@hays.com.sg for a confidential discussion.

Referrals are welcome.

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