Senior Data Engineer - Cloud Pipelines & Geospatial AI

FPT Asia Pacific; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

FPT Asia Pacific is seeking an experienced Data Engineer to design, develop and maintain scalable data pipelines, cloud-based data platforms and enterprise system integrations. You will collaborate with Data Managers, Analysts, Software and Cloud engineers to translate business requirements into practical technical solutions.

The role focuses on data pipeline design for structured, unstructured and geospatial datasets, end-to-end cloud solutions, and integration with AI/ML and geospatial tools.

Qualifications

• Degree in Computer Science, Computer Engineering, Information Systems, Software Engineering or related discipline.
• Experience designing, developing, deploying and maintaining data pipelines and cloud-based data platforms.
• Strong understanding of solution architecture, systems integration and cloud infrastructure.
• Experience integrating data platforms, cloud services and enterprise applications.
• Familiarity with REST APIs, ETL/ELT processes, database connectivity and secure data exchange.
• Understanding of data governance, security, identity and access management.
• Strong troubleshooting, analytical and problem-solving skills.
• Ability to translate business requirements into technical specifications and engineering solutions.
• Good communication, documentation and stakeholder management skills.
• Ability to manage multiple technical workstreams independently and collaboratively.

Responsibilities

• Design, develop, maintain and optimise data pipelines for structured, unstructured and geospatial datasets.
• Develop data models, schemas, transformation logic and processing workflows for analytics and AI applications.
• Implement automated data validation, quality monitoring and error-handling mechanisms.
• Troubleshoot pipeline failures, resolve integration issues and improve system performance.
• Maintain documentation covering data attributes, schemas, metadata and processing workflows.
• Design and implement end-to-end solutions across cloud platforms, data systems, AI services and applications.
• Integrate Azure Databricks, Azure cloud services, AI/ML platforms and geospatial applications.
• Design data flows covering ingestion, transformation, storage, processing, APIs and downstream consumption.
• Evaluate integration approaches such as REST APIs, database connections, batch processing and event-driven architectures.
• Assess technical solutions based on scalability, security, performance, cost and maintainability.
• Collaborate with software developers, cloud engineers and architects to define system interfaces and integration requirements.
• Develop and maintain data engineering solutions using Azure Databricks and related Azure services.
• Implement cloud-based data processing, orchestration, storage and integration solutions.
• Support data integration with AI/ML services for model development, inference and AI-enabled applications.
• Explore emerging AI technologies, including Retrieval-Augmented Generation (RAG), vector search and AI agents.
• Collaborate with AI and platform teams to support evolving analytics and AI requirements.
• Develop geospatial data processing workflows, including spatial transformations, validation and integration.
• Integrate backend data platforms with geospatial applications, mapping services and analytical tools.
• Design efficient data access mechanisms using spatial databases, APIs and GIS services.
• Optimise geospatial data processing to support interactive applications and analytics.
• Evaluate geospatial technologies for storage, processing, visualisation and data sharing.

Skills

Analytical thinking

Problem-solving

Communication

Collaboration

Documentation

Education

Bachelor's degree in Computer Science / Computer Engineering / Information Systems / Software Engineering

Tools

Azure Databricks

Azure cloud services

REST APIs

Geospatial GIS

Job description

FPT Asia Pacific is seeking an experienced Data Engineer to design, develop and maintain scalable data pipelines, cloud-based data platforms and enterprise system integrations. You will collaborate with Data Managers, Analysts, Software and Cloud engineers to translate business requirements into practical technical solutions.

The role focuses on data pipeline design for structured, unstructured and geospatial datasets, end-to-end cloud solutions, and integration with AI/ML and geospatial tools.