Technical Lead (TypeScript, English)

Senior Data Engineer

Ho Chi Minh - Viet Nam

Product

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

Negotiation

D365 Finance & Operations Technical Consultant (Contractor)

Ho Chi Minh - Viet Nam

Offshore

• ERP
• Dynamics AX

Designing, configuring, developing, and deploying scalable D365 F&O solutions across multiple entities. Supporting end-to-end implementation processes, from requirements and design to development, testing, and go-live. Utilizing Out-of-the-Box (OOB) features while designing or customizing solutions for identified gaps. Collaborating with finance and operations business teams from different regions in South East Asia and South Africa to migrate entities from legacy systems and onboard new entities. Creating and maintaining data models that ensure seamless integration with the Microsoft Common Data Service (CDS). Developing integrations using REST APIs, Web Services, and Data Entities. Generating finance reports and dashboards using Power BI, SSRS, and FetchXML. Being familiar with co-pilot capabilities and building AI models. Participating in solution design, code reviews, and deployment planning. Troubleshooting and resolving complex system or application issues.

Negotiation

Data Analyst

Ho Chi Minh - Viet Nam

Offshore

• Data Analyst

Gather, sanitize, and evaluate data from diverse origins to meet business requirements. Construct and maintain fundamental analytical datasets and reports for different teams. Validate and verify data to uphold accuracy, consistency, and dependability. Apply statistical and analytical methods to identify patterns and potential opportunities. Work closely with business stakeholders to grasp needs and provide actionable insights. Carry out thorough analyses of customer behavior, product usage, and market trends. Translate intricate data findings into clear, influential recommendations for business strategies. Support data-informed decision-making across various teams including marketing, operations, finance, and product teams. Create dashboards and Key Performance Indicator (KPI) tracking tools for monitoring business performance. Devise and conduct experiments (e.g., A/B tests) to evaluate initiatives. Deliver insights in a clear and convincing manner to both technical and non-technical audiences. Encourage data literacy by aiding colleagues in understanding and utilizing analytical tools. Share best practices in data analysis, visualization, and reporting. Contribute to documentation and training to elevate organizational analytics proficiency. Allocate time to cross-team projects aimed at enhancing company-wide data capabilities.

Negotiation