Digital Marketing Manager

Engineering Manager (Data Platform)

Ho Chi Minh - Viet Nam

Offshore

• Data Engineering
• Management

This role focused on data engineering teams with data warehousing, streaming and batch patterns, CI/CD for data pipelines, 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 Agile delivery across data platforms, ensuring high standards for; Data quality and testing, Code quality and review practices, CI/CD for data pipelines, Documentation and operational readiness Collaborate closely with data architects, product managers, analytics teams, platform teams, and governance stakeholders to deliver data capabilities aligned with business priorities Own the execution of the data engineering roadmap, balancing short-term delivery with long-term platform sustainability Contribute to data platform architecture and design, including ingestion, transformation, storage, and consumption layers Coach engineers to be T-shaped, capable of working across batch, streaming, analytics engineering, and platform concerns Own and prioritise the remediation of technical and data debt, including legacy pipelines, performance issues, and data quality gaps Stay current with modern data engineering tools, patterns, and methodologies, particularly within the Databricks ecosystem Be accountable for the full lifecycle of data solutions, from design through build, deployment, monitoring, and support Empower teams to be self-sufficient, disciplined, and accountable for the reliability of data products Lead initiatives to improve data delivery processes, including automation, observability, and operational excellence Motivate teams to continuously improve through innovation, experimentation, and continuous delivery Drive career development and progression for data engineers, partnering with HR on performance management and growth paths

Negotiation

Featured Job

SME Digital Banking Head

Ha Noi - Viet Nam

Product, Bank

• Sale

Lead the development and execution of the SME business strategy in line with overall corporate goals. Identify and capitalize on growth opportunities within the SME sector and create actionable business plans. Continuously monitor market trends, competitor activities, and regulatory changes to adapt strategies effectively. Drive the acquisition of new SME clients and strengthen relationships with existing ones. Develop and oversee the implementation of innovative SME banking products and services, including loans, deposits, trade finance, and digital solutions. Work closely with marketing teams to design campaigns targeting the SME segment. Establish, lead, and mentor a high-performing SME banking team, including relationship managers and product specialists. Set clear performance targets and ensure the team meets or exceeds revenue, profitability, and customer satisfaction goals. Collaborate with the credit risk team to establish prudent risk assessment frameworks for SME lending. Monitor credit quality and minimize non-performing loans (NPLs) to ensure a healthy portfolio. Act as the key point of contact for SME-related partnerships and collaborations with external stakeholders. Represent the organization in SME forums, conferences, and events to enhance brand visibility. Improve customer experience and operational efficiency by streamlining processes and leveraging technology and digital platforms to enhance service delivery for SME clients. Ensure compliance with local and international banking regulations and maintain robust internal controls and reporting mechanisms for all SME banking activities.

Negotiation

Product Manager (Data & Models)

Ho Chi Minh - Viet Nam

Product

• Product Management
• AI

Designing data strategy and model integration for creating efficient data pipelines, evaluation frameworks, and annotation systems to maintain high-performance LLMs. Responsible for ensuring data quality standards and implementing bias mitigation and privacy-preserving techniques. Defining the product's core model roadmaps, taking into account technical feasibility, user needs, and ethical considerations. Collaboration with researchers to incorporate experimental breakthroughs into deployable features. Partnering with Engineering and Research teams to ensure model development aligns with product goals and advocating for transparency in model decision-making to build user trust. Analyzing usage patterns from open-source communities (Discord, Reddit, GitHub) to refine model behavior and address real-world edge cases, contributing to community-driven model evolution. Setting performance benchmarks, cost efficiency, and resource utilization standards for model scalability and reliability.

Negotiation