Engineering Consultant

Engineering Manager - Investment and Insurance

Ho Chi Minh - Viet Nam

Offshore

Drive and coach Agile teams to deliver on engineering standards, sprint backlogs and plans, engineers' responsibilities and performance management, code quality, adherence to development guardrails, and testing; Drive the execution and delivery of engineering goals by collaborating with many cross-functional teams, architects, and product managers; Drive technology roadmap; Be a part of the overall architecture and key components design for the current and future framework Be the voice of reason between speed and quality; Coach engineers to be T-shaped, versatile, and take responsibility outside their core disciple; Own remediation of technical debt; Keep up-to-date with modern development technologies and methodologies; Be responsible for the full life-cycle development process and the deliveries of a team; Empower the product engineering team to be self-sufficient and disciplined; Lead initiatives for implementing efficient development and delivery processes; Motivate the product team to go above and beyond with continuous delivery and innovation; Execute and update the career path development for engineering team members, working with the HR department;

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

Engineering Manager (Data Platform)

Ho Chi Minh - Viet Nam

Offshore

• Data Engineering
• Management

Agile Team Leadership: Guide and coach Agile teams to uphold engineering standards, manage sprint backlogs, clarify responsibilities, ensure code quality, enforce development guardrails, and drive rigorous testing practices. Agile Data Delivery: Oversee Agile execution across data platforms, maintaining excellence in data quality, testing, code review practices, CI/CD pipelines, documentation, and operational readiness. Cross-Functional Collaboration: Partner with data architects, product managers, analytics teams, platform engineers, and governance stakeholders to deliver data capabilities aligned with business priorities. Roadmap Ownership: Lead the execution of the data engineering roadmap, balancing immediate delivery needs with long-term platform sustainability. Architecture & Design: Contribute to the design of data platform architecture across ingestion, transformation, storage, and consumption layers. Engineer Development: Coach engineers to become T-shaped professionals, capable of working across batch processing, streaming, analytics engineering, and platform operations. Technical Debt Remediation: Own and prioritize the resolution of technical and data debt, including legacy pipelines, performance bottlenecks, and data quality issues. Modern Practices: Stay current with evolving data engineering tools, methodologies, and patterns-particularly within the Databricks ecosystem. Lifecycle Accountability: Ensure end-to-end ownership of data solutions, from design and build through deployment, monitoring, and ongoing support. Team Empowerment: Foster self-sufficient, disciplined teams accountable for the reliability and resilience of data products. Process Excellence: Lead initiatives to enhance data delivery through automation, observability, and operational best practices. Continuous Improvement: Inspire teams to innovate, experiment, and embrace continuous delivery as part of their culture. Career Growth: Drive career development for data engineers, partnering with HR to manage performance and define growth pathways.

Negotiation