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Lead Data & Integration Engineer

encora10

Location: Singapore, SG

Posted: 2026-07-13 (employer's date)

First seen by DirectJobSource: 2026-08-20

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Lead Data & Integration Engineer

Important Information

Location: Singapore

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
  1. 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
  1. 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.

  1. 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

Key Requirements

Below are the key skillsets that will be required for all relevant tasks mentioned:

  • 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.
  • Strong communication skills, with the ability to challenge weak designs and coordinate across business, application, data, infrastructure and security teams.

Key Domain:

  • Data Engineering,
  • System Integrations,
  • Python, SQL

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality