Lead Data & Integration Engineer

Encora; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Encora, a global software and digital engineering company, is hiring a Lead Data & Integration Engineer in Singapore. You will design data flows and integration architectures, coordinate data movement across systems, and prepare data for GenAI use cases, including ingestion and transformation.

You will collaborate with data platforms, application, infrastructure and security teams to ensure reliable integrations and controlled releases.

Qualifications

• 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 and interface specifications.
• Experience delivering enterprise integrations with upstream and downstream teams.
• Experience with REST APIs, SFTP, batch processing, file-based integration and data pipeline orchestration.

Responsibilities

• Analyse business/technical requirements and translate them into data flows and integration designs.
• 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 use cases: document ingestion, data aggregation, enrichment and transformation.
• Work across multiple teams: data platforms, application teams, infrastructure, security.
• Support SIT, UAT and production rollouts.
• Document flows, mappings and interfaces clearly.

Skills

System analysis

Data integration

Data engineering

GenAI data prep

Data quality

Communication

Tools

REST APIs

SFTP

Batch processing

Git

Jira

Confluence

Control-M

Informatica

Cloudera

OTEL

Splunk

Job description

Lead Data & Integration Engineer

Important Information

Location: Singapore

Key Responsibilities

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