Top 3 Reasons To Join Us
Compelling rewards, 13th-month salary
Working 5 weekdays and Flexible working time
International Teamwork opportunities
The Job
About Endash
Endash is revolutionizing data analytics with our AI-powered data integration and visualization platform. We enable businesses of all sizes to easily build data pipelines and dashboards without requiring dedicated data teams. Our solution connects to over 500 data sources and features innovative AI tools including Text2SQL functionality and automated insight generation, allowing non-technical users to perform complex data analysis without coding knowledge.
Endash is part of Cigro Inc., a South Korean tech company driving data-driven innovation across B2B SaaS, outsourcing development, and AI platforms. Our Vietnam team plays a critical role in product development and cross-functional delivery.
Position Overview
We are looking for a Data Engineer (Fresher) to join our growing engineering team.
In this role, you will support end-to-end data infrastructure, consulting, and delivery for clients across diverse industries. From ingestion to visualization, you'll contribute to building reliable data pipelines, refactoring existing layers, and scaling multi-tenant data catalog systems that support real-time decision-making. We value people who are eager to learn, write clean code, and understand the business logic and user needs behind the data.
Key Responsibilities
- Assist in building and maintaining customized multi-tenant data catalogs tailored to each client's business requirements
- Support refactoring and modularizing the pipeline layer structure to clarify ownership and streamline functionality
- Learn to transition and optimize pipelines from ETL to ELT to enhance agility and responsiveness
- Contribute to the design of high-performance data models using DBT and modern materialization strategies
- Support the optimization of cost-efficiency and scalability of GCP cloud infrastructure for data workflows
- Help develop and operate data ingestion pipelines using methods such as web crawling, open APIs, and third-party services (e.g., Fivetran, Airbyte, Apify)
- Support pipeline orchestration using tools like Prefect
- Assist in monitoring the DataOps environment, ensuring long-term stability and reliability for each client
Your Skills and Experience
Requirements
- Fresher or up to 1 year of relevant experience
- Proficiency in Python and interest in scripting and automation
- Basic understanding of SQL and relational database concepts
- Strong interest in data engineering and pipeline architecture
- Curiosity about commerce data and its business applications
- Good communication skills to work with both engineers and non-technical stakeholders
Good To Haves
- Exposure to designing or learning about ETL/ELT pipelines
- Familiarity with pipeline orchestration tools such as Airflow or Prefect
- Basic knowledge of data warehouses, data lakes, or cloud-based architectures
- Interest in DBT, semantic modeling, and performance tuning
Why You'll Love Working Here
Compensation & Benefits
- 13th-month salary for employees completing 12 months of service.
- Annual leave: 12 fully paid days for employees with over 12 months of service.
- Comprehensive insurance coverage: Social, Medical, and Unemployment Insurance.
- Flexible work hours: Start your day between 8:30-9:30 AM.
- Workplace flexibility: Comfortable on-site environment in Thao Dien, HCMC, with flexibility for personal needs.
- Top-tier equipment: MacBook, monitors, and necessary work tools.
- Professional growth: Access to work-related books, lectures, and diverse projects.
- Collaborative environment: Team activities, clubs, and community events.
Hiring Process
- Application Review
- We will review your resume and application materials.
- English Interview
- A brief English interview to confirm basic profile information and evaluate spoken English proficiency.
- Conducted remotely.
- Role Interview
- A 1-hour interview focused on your technical skills, problem-solving approach, and thinking as a developer.
- You'll also have a chance to ask detailed questions about working at Endash.
- Conducted onsite or online with our engineering team.
- Culture Interview
- A 1-hour conversation to assess alignment with Endash's vision, work style, and team dynamics.
- Conducted by 1-2 members of our leadership team (C-level).
- Conducted onsite or online.
We are a startup that moves fast: developing, testing, launching, and validating product hypotheses through rapid iterations.
While technical skills are important, we also value proactiveness in problem-solving and the drive to grow quickly.
Compensation & Benefits
- 13th-month salary for employees completing 12 months of service.
- Annual leave: 12 fully paid days for employees with over 12 months of service.
- Comprehensive insurance coverage: Social, Medical, and Unemployment Insurance.
- Flexible work hours: Start your day between 8:30-9:30 AM.
- Workplace flexibility: Comfortable on-site environment in Thao Dien, HCMC, with flexibility for personal needs.
- Top-tier equipment: MacBook, monitors, and necessary work tools.
- Professional growth: Access to work-related books, lectures, and diverse projects.
- Collaborative environment: Team activities, clubs, and community events.
Hiring Process
- Application Review
- We will review your resume and application materials.
- English Interview
- A brief English interview to confirm basic profile information and evaluate spoken English proficiency.
- Conducted remotely.
- Role Interview
- A 1-hour interview focused on your technical skills, problem-solving approach, and thinking as a developer.
- You'll also have a chance to ask detailed questions about working at Endash.
- Conducted onsite or online with our engineering team.
- Culture Interview
- A 1-hour conversation to assess alignment with Endash's vision, work style, and team dynamics.
- Conducted by 1-2 members of our leadership team (C-level).
- Conducted onsite or online.
We are a startup that moves fast: developing, testing, launching, and validating product hypotheses through rapid iterations.
While technical skills are important, we also value proactiveness in problem-solving and the drive to grow quickly.