Senior Data Engineer: End-to-End Pipelines & AI-Ready

Capgemini; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work practices

40 hours self-development annually

Job summary

Capgemini Singapore seeks an experienced Data Engineer to own end-to-end data pipelines, design data models and governance, and contribute to platform architecture for AI and retrieval-based solutions. You will drive data quality, observability and scalable data platforms while collaborating with stakeholders on complex data initiatives.

Role involves autonomous delivery, shaping technical decisions, and supporting testing and operations; after-hours support may be required during testing and

Qualifications

• 5 to 7+ years software engineering experience.
• End to end ownership of production data systems.
• Strong ETL/ELT, data modelling, batch, and streaming processing experience.
• Strong backend development skills in at least one programming language.
• API design and system architecture capabilities.
• Cloud native data platform or lakehouse experience.
• Strong stakeholder communication and technical leadership skills.

Responsibilities

• Own end to end data pipeline design and delivery
• Design data models and storage architectures
• Build data quality, observability, and governance capabilities
• Contribute to broader platform and product architecture
• Support future AI and retrieval-based solutions
• Operate autonomously and drive key technical decisions
• After hours support may be required during testing, verification, and operational exigencies

Skills

Software engineering experience

Data ownership

ETL/ELT

Data modelling

Batch/streaming processing

Backend development

API design

System architecture

Cloud data platforms

Stakeholder communication

Technical leadership

Tools

Databricks

Unity Catalog

Delta Lake

Job description

Capgemini Singapore seeks an experienced Data Engineer to own end-to-end data pipelines, design data models and governance, and contribute to platform architecture for AI and retrieval-based solutions. You will drive data quality, observability and scalable data platforms while collaborating with stakeholders on complex data initiatives.

Role involves autonomous delivery, shaping technical decisions, and supporting testing and operations; after-hours support may be required during testing and