Hybrid Data Engineer Intern – Martech Team

at Intrepid

• Job title: Data Engineer Intern – Martech Team
• Job type: Internship
• Experience level: Entry level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, BigQuery, Cloud, Distributed Systems, ElasticSearch, JavaScript, Kafka, Kubernetes, Linux, Node.js, NoSQL, Puppeteer, Python, RabbitMQ, Redis, SQL, Go
• Location requirements: Hybrid, Ho Chi Minh, Vietnam

About the role

• Data Engineer Intern supporting Intrepid's Martech solutions for ecommerce brands while gaining hands-on experience with data systems. Collaborate with experienced team members to enhance data collection and integration processes.

Responsibilities

• Support the Tech team in building and improving Intrepid Martech , our core marketing and data solution for brands.
• Work closely with experienced Data Engineers, BI specialists, and Product team members to gain hands-on experience with real production data systems.
• Help collect, process, and integrate data from multiple external sources into our data platforms, while learning best practices in data architecture, data quality, system reliability, and monitoring.
• Assisting in the design and development of crawler systems and data pipelines to collect data from e-commerce platforms, including login-required sources and open APIs.
• Supporting the maintenance and continuous improvement of existing data pipelines, scraping workflows, and ingestion processes.
• Testing, validating, and checking data from APIs and crawling processes to ensure accuracy, consistency, and data quality.
• Assisting in monitoring data flows, identifying issues, and troubleshooting basic problems under the guidance of senior engineers.
• Working closely with team leaders and following technical standards and guidelines to deliver assigned tasks effectively.
• Documenting technical processes and contributing to internal knowledge sharing within the team.

Requirements

• Careful, diligent, and responsible, with good teamwork and communication skills.
• Currently pursuing or recently graduated with a degree in Information Technology, Software Engineering, Computer Science, or Data Science.
• Basic understanding of backend development , data pipelines , and Linux environments.
• Solid foundation in SQL/NoSQL , including writing queries, understanding table schemas, and basic query and table optimization.
• Familiarity with data orchestration and scheduling tools such as Airflow (concepts, DAGs, task dependencies).
• Basic knowledge of HTTP, HTML, JavaScript, and networking concepts.
• Basic understanding of distributed systems and modern data infrastructure components , including: Message queues and streaming platforms such as RabbitMQ and Kafka.
• In-memory data stores and caching mechanisms such as Redis.
• Search and analytics engines such as Elasticsearch.
• Familiarity with Golang is preferred; exposure to Node.js , Python , and web scraping or browser automation tools (e.g. Puppeteer) is a plus.
• Basic experience with Linux command-line tools.
• Familiarity with version control systems such as Git.
• Exposure to CI/CD concepts and pipelines (e.g. GitLab CI/CD) is a plus.
• Willingness and ability to learn cloud-based and containerized technologies , such as Kubernetes (K8s) , Cloud Functions , Cloud Storage , and BigQuery.
• Basic awareness of AI-assisted development tools and AI agents , with an understanding of how to use them responsibly and effectively to support development, debugging, and learning.
• Ability to review and evaluate AI-generated outputs , ensuring correctness, code quality, and alignment with existing systems before applying them.
• Strong attention to code quality and maintainability , avoiding unnecessary complexity, redundant code, or “noise” in the codebase.
• Eager to learn and work in an Agile development environment.
• Interest in data collection, crawling/scraping, browser automation, and reverse engineering is an advantage.
• Good written and spoken English communication skills.
• Passion for ecommerce, data, and technology-driven solutions is a plus.

Benefits

• The opportunity to contribute to the operating system for digital commerce in South East Asia , covering key platforms and functionalities across Middleware, Martech, Data & Analytics, and more.
• Hands-on exposure to real-world SaaS platforms and large-scale data systems built on modern, scalable infrastructure.
• The chance to work within a mature, enterprise-grade Tech team that has been operating since 2017, with well-established processes and best practices—while still maintaining a non-hierarchical, entrepreneurial, and collaborative culture.
• Close collaboration with business stakeholders, ensuring your technical work has real-world impact and visibility.
• Good ideas are encouraged, ownership is valued, and initiative is rewarded.
• You are empowered to shape both your role and your growth.
• You will have access to structured training through Intrepid Academy , coaching, and real-world project experience that accelerates your professional growth.
• We offer a competitive internship allowance and a supportive environment that values your contributions and development.