# Lead Data & Integration Engineer at Encora

Lead Data & Integration Engineer at Encora in Singapore. Posted July 13, 2026.

- Company: Encora
- Location: Singapore
- Experience: 10+ years
- Posted: 2026-07-13
- Apply: https://job-boards.greenhouse.io/encora10/jobs/5184130007
- Source: https://jobmagic.ai/jobs/lead-data-integration-engineer-encora-63jkzh

## Requirements

- 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.

## Description

**Lead Data & Integration Engineer**

 

**Important InformationLocation: 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

- ** 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

- ** 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.

- ** 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