Hire Data Engineers in Vietnam | Offshore Staffing by THIENTU BPO

As businesses generate more data than ever before, the need for skilled Data Engineers has never been greater. These professionals play a crucial role in designing, building, and optimizing data pipelines that process, store, and analyze vast amounts of information. Data Engineers ensure that the data infrastructure is reliable, scalable, and secure, enabling organizations to make data-driven decisions with accuracy and efficiency. However, finding top-tier Data Engineers locally can be challenging and expensive.

Vietnam offers an excellent offshore solution, with a growing talent pool of Data Engineers proficient in building data architectures, data pipelines, and analytical systems. THIENTU BPO helps businesses build dedicated, high-performing offshore Data Engineering teams in Vietnam—fully integrated, efficient, and supported to drive actionable insights and optimize your data infrastructure.\

What Is a Data Engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining the systems and infrastructure required to collect, process, and store large volumes of data. They develop data pipelines that extract, transform, and load (ETL) data from various sources into centralized data warehouses or data lakes. Data Engineers also ensure that data is clean, accessible, and ready for analysis by data scientists and analysts. Their work is crucial in enabling organizations to leverage big data for business intelligence, predictive modeling, and data-driven decision-making.

Why Hire Data Engineers in Vietnam?

Vietnam has become a leading destination for global outsourcing across a wide range of roles — from technical and creative to customer-facing and back-office functions. Here’s why companies worldwide are choosing Vietnam:

• Skilled and Educated Workforce
  Vietnam offers a large pool of highly skilled Data Engineers with expertise in data architecture, pipeline development, and cloud technologies. Many professionals have experience working with leading data tools and platforms like Hadoop, Spark, SQL, and cloud environments.

• English Proficiency and Global Readiness
  Many professionals are fluent in English and familiar with Western business practices, ensuring smooth communication and collaboration.

• Cost-Effective Talent Solutions
  Vietnam offers highly skilled Data Engineers at a fraction of the cost compared to traditional outsourcing markets like India, the Philippines, and Western countries.

• Supportive Business Environment
  The Vietnamese government actively supports the IT, BPO, and digital services sectors, making it easier to build and scale offshore teams.

• Time Zone Flexibility
  With working hours that overlap with APAC, Europe, and North America, Vietnam enables real-time collaboration across global teams.

Data Engineer Roles You Can Hire

• Senior Data Engineer

• Junior Data Engineer

• Data Pipeline Developer

• Data Architect

• Big Data Engineer

• Cloud Data Engineer

• ETL Developer

• Data Warehouse Engineer

What Your Offshore Data Engineer Can Support

• Designing, building, and maintaining data pipelines that efficiently collect, transform, and load data

• Developing data architectures, including data lakes and warehouses, to centralize and optimize data storage

• Integrating data from various sources, such as APIs, databases, and third-party tools

• Ensuring data quality and reliability by cleaning, validating, and standardizing data

• Collaborating with data scientists and analysts to ensure data is ready for analysis and modeling

• Implementing data security measures to ensure compliance with data privacy regulations

• Optimizing data infrastructure for speed, scalability, and cost-efficiency

• Managing cloud platforms (AWS, Azure, Google Cloud) for data storage and processing

• Automating data processes and workflows to improve efficiency and reduce manual errors

Hire Data Engineers with the Right Skills

• Expertise in data modeling, ETL processes, and data pipeline design

• Proficiency in SQL and programming languages like Python, Java, and Scala

• Strong knowledge of data storage and processing technologies such as Hadoop, Apache Spark, Kafka, and NoSQL databases

• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable data systems

• Experience with data visualization tools such as Tableau, Power BI, or Looker

• Knowledge of data security best practices and data governance principles

• Ability to work with big data tools and frameworks to process large-scale data

• Experience with version control systems like Git and collaborative development workflows

• Strong problem-solving and troubleshooting skills to identify and resolve data-related issues

Salary Comparison Table: Vietnam vs USA vs Singapore

Note: Salary ranges are estimates based on publicly available data and recruitment market reports as of June 2025. Sources include Glassdoor, VietnamWorks, and Robert Walters.

How THIENTU’s Proven Hiring Process Works

We make it easy to hire top remote talent through a structured, fast-tracked process that works across all roles and markets:

1. Define Your Needs
   Specify the role, skill set, industry focus, language or technical requirements, and timeline—so we can tailor the search from day one.

2. Review Qualified Candidates
   Receive a curated shortlist of pre-vetted candidates in just 5–7 business days, carefully selected to meet your defined criteria.

3. Interview & Select
   Evaluate candidates through interviews or test projects. We support you in making confident hiring decisions based on proven qualifications.

4. Launch with Support
   We handle onboarding, secure access, compliance, and performance tracking—ensuring a seamless start and ongoing success.

Why Hire Data Engineers in Vietnam with THIENTU BPO

• Award-Winning Excellence: Proud recipient of the Samsung Top Global Performance Award for Call Chat NPS in Customer Contact Center, reflecting our commitment to outstanding service quality and client satisfaction.

• Experienced Team: Extensive expertise in quickly establishing and integrating offshore teams tailored to client-specific needs.

• Quality and Security: Certified with ISO/IEC 27001:2022 (Information Security) and ISO 9001:2015 (Quality Management), ensuring reliable and secure staffing solutions.

• Comprehensive Support: Full administrative, HR, payroll, and IT infrastructure support, enabling you to focus solely on strategic management.

• Rapid Implementation: Proven ability to recruit and onboard dedicated teams in record time.

• Flexible and Scalable Solutions: Adaptable staffing models that can scale seamlessly with your business growth.

• Transparent SLAs: We commit to clear service-level agreements ensuring accountability and consistent delivery.

Sample Job Description – Offshore Data Engineer

Key Responsibilities:

• Design, build, and optimize data pipelines for processing, transforming, and storing data

• Work with cross-functional teams to gather data requirements and design appropriate data models

• Integrate data from multiple sources into centralized data storage systems like data lakes or data warehouses

• Ensure data quality and integrity by developing automated data validation processes

• Monitor and optimize data processes to improve speed, efficiency, and scalability

• Collaborate with data scientists and analysts to make data available for reporting and modeling

• Maintain security protocols to ensure data privacy and compliance with regulatory standards

• Implement data governance policies and best practices to maintain consistency across data systems

Essential Skills & Qualifications:

• 3+ years of experience in data engineering, with proficiency in SQL and programming languages like Python, Java, or Scala

• Experience with data storage technologies such as Hadoop, Spark, and SQL/NoSQL databases

• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable data solutions

• Strong knowledge of ETL tools and techniques for processing large data volumes

• Experience with data visualization tools like Tableau, Power BI, or Looker is a plus

• Understanding of data governance, data security, and privacy best practices

• Ability to work with big data technologies and frameworks

• Strong analytical skills and the ability to troubleshoot and resolve data issues

FAQs

How do you evaluate Data Engineer candidates?

We evaluate candidates based on their experience with data engineering tools, their ability to design and implement data pipelines, and their proficiency in programming languages like Python or Java. We also assess their ability to optimize data systems for speed, scalability, and security.

Can offshore Data Engineers handle complex data projects?

Yes, our offshore Data Engineers are skilled in building and maintaining complex data architectures, processing large datasets, and implementing sophisticated data systems for various business applications.

What tools do offshore Data Engineers use?

Our Data Engineers are proficient with tools like SQL, Hadoop, Spark, Apache Kafka, and cloud services like AWS, Azure, and Google Cloud. They also use data visualization tools like Tableau and Power BI for reporting and analytics.

How quickly can I hire an offshore Data Engineer?

You can receive a shortlist of qualified candidates in 5–7 business days. Once selected, onboarding and integration can begin immediately with full support from THIENTU BPO.

How do you ensure the quality of work from offshore teams?

THIENTU ensures regular performance reviews, data system testing, and collaboration with internal teams to ensure that our offshore Data Engineers meet or exceed expectations for data integrity, security, and performance.

Ready to Optimize Your Data Infrastructure with Offshore Expertise?
THIENTU BPO helps you hire skilled, cost-effective Data Engineers in Vietnam—ready to build, manage, and optimize your data systems. Contact us today to start building your offshore data engineering team.