Senior Data Engineer

JOB DESCRIPTION

We're seeking a Staff Data Engineer to own and evolve our data infrastructure as we scale globally. You'll design and build the data systems that power our platform - from real-time pipelines and analytics infrastructure to the AI/ML foundations enabling intelligent insurance products.
Data Architecture & Engineering
Design and implement scalable, future-proof data architectures aligned with business objectives across multiple regions and regulatory environments
Build and maintain data pipelines for ingestion, transformation, and delivery using modern orchestration tools (Airflow, Spark, Kafka)
Architect data solutions spanning data warehousing, data lakes, and real-time analytics
Create and maintain data models (conceptual, logical, physical) using recognized modeling approaches
Develop and document the enterprise data landscape, mapping data stores and flows across our microservices architecture
AI/ML Infrastructure
Build and maintain data infrastructure supporting ML model training, deployment, and monitoring (MLOps)
Design and implement vector database solutions for AI-powered features (e.g., MongoDB
Atlas Vector Search, Pinecone, Weaviate)
Develop data pipelines feeding recommendation engines, claims processing automation, fraud detection, and other AI-driven capabilities
Ensure AI infrastructure scales globally while meeting data residency and compliance requirements
Data Operations & Quality
Implement DataOps practices ensuring data quality, lineage, and governance across the platform
Define and enforce data strategy and architectural principles across engineering teams
Build monitoring and alerting for pipeline health, data quality, and SLA compliance
Optimize query performance and cost efficiency across data systems
Technical Leadership
Collaborate with product and engineering teams to translate business requirements into data solutions
Act as a change agent, driving adoption of modern data practices across the organization
Contribute to architectural reviews and technical decision-making
Own data problems through to resolution

JOB REQUIREMENT

Experience
8-10 years in data engineering, with progressive responsibility for architecture and technical leadership
Recent 3-5 years working in tech startups - experience building and scaling data infrastructure in fast-paced, high-growth environments
Recent experience in insurance, banking, fintech, or e-commerce - insurance domain experience strongly preferred
Proven track record building data platforms that serve production AI/ML workloads at scale
Technical Skills - Data Engineering
Deep expertise with AWS and Azure cloud data services (multi-cloud experience required)
Strong experience with MongoDB Atlas including aggregation pipelines, Atlas Data
Federation, and data modeling for document databases
Hands-on experience with pipeline orchestration: Airflow, Spark (Databricks or Apache), Kafka
Proficiency with dbt or similar transformation frameworks
Advanced SQL and Python skills
Experience with Infrastructure as Code (Terraform) and GitOps practices
Strong understanding of containerization (Docker, Kubernetes) for data workloads
Technical Skills - AI/ML Infrastructure
Experience building data pipelines for ML model training and inference
Hands-on experience with vector databases (e.g., MongoDB Atlas Vector Search, Pinecone, Weaviate, Qdrant)
Familiarity with MLOps practices: model versioning, feature stores, monitoring, A/B testing infrastructure
Understanding of embedding models and retrieval-augmented generation (RAG) patterns
Active use of AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) in daily work
Soft Skills
Strong data modelling and architecture skills with ability to communicate designs to technical and non-technical stakeholders
Self-directed with ability to manage and prioritize autonomously
Collaborative mindset; comfortable working across engineering, product, and business teams
Startup mentality - comfortable with ambiguity, able to context-switch, and energized by building rather than maintaining

WHAT'S ON OFFER

Competitive compensation - market-leading salary package
Healthcare coverage - for you and two family members
Monthly allowances - meal and transportation support
Year-end bonus - performance-based
Modern office - state-of-the-art workspace in Ho Chi Minh City
International team - work alongside colleagues across Switzerland, Singapore, Vietnam, Portugal, and Latin America
Cutting-edge stack - MongoDB Atlas, multi-cloud (AWS/Azure), modern DataOps practices
High-impact work - build data infrastructure powering 200M+ customers globally

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Salary:

Negotiation

Job ID:

J02016

Status:

Active

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