Transform raw data into actionable insights with experienced Data Engineers.


Data Engineers design and build systems to collect, store, and analyze large data sets, enabling better decision-making for your business.
How can Data Engineers help your business?
Data pipelines
Database management
ETL processes
Data integration
Data security
Big data tools
Performance optimisation
Collaboration
Elevate your data operations with skilled engineering teams
Junior
- Build and maintain simple pipelines, handle data extraction, cleaning, and transformation tasks.
- Write basic SQL / scripting, support data validation and data quality checks.
- Assist with integrating data sources, work under supervision, learn scaling and storage concerns.
Intermediate
- Design efficient ETL workflows, support moderate data architectures, and manage performance and cost trade-offs.
- Implement or enhance data storage solutions, ensure schema efficiency, and collaborate with downstream analytics teams.
- Monitor data pipeline health, optimize data flows, contribute to data versioning, logging, and error-handling.
Senior
- Lead architecture of data systems, design for high-volume, high-availability pipelines and strong governance.
- Ensure data security, consistency, and compliance, scale systems, and guide best practices in reliability and maintainability.
- Mentor engineers, set standards for data model quality, align data infrastructure strategy with business impact, and long-term roadmap.
Why Away Digital Teams?
Trusted partnerships
High client retention
Save you time
Employee satisfaction
Large talent pool
Guaranteed quality
Why Vietnam?
70% hold degrees in high-demand fields
35% annual growth in key industries
Top 7 outsourcing destinations
85% of candidates are fluent in English
Our onboarding process
INTRODUCTION
WE FIND
YOU CHOOSE
WE MANAGE
ONGOING SUPPORT
Leverage the best tools for optimal results
will be proficient with all of the best tools for Data Engineers.
Trusted by leading businesses
Talk to our team
Need full-time dedicated staff?
Drop your info, and we’ll reach out within a day to arrange a chat .
Data Engineer: FAQs
What are the benefits of outsourcing data engineering for businesses managing large-scale data operations?
Outsourcing data engineering helps businesses manage large-scale data operations by providing access to specialized expertise in data architecture, processing, and integration. It enables more efficient data pipelines, improved data quality, and advanced analytics capabilities, all while reducing overhead costs and allowing businesses to focus on leveraging data for strategic growth.
How does working with an outsourced data engineer improve data processing efficiency?
Working with an outsourced data engineer improves data processing efficiency by implementing optimized data pipelines, automating workflows, and using advanced tools for faster data transformation and analysis. Their expertise ensures streamlined data flow, reduces bottlenecks, and enhances overall system performance, allowing businesses to make quicker, data-driven decisions.
What measures are in place to ensure data security and compliance when outsourcing data engineering?
To ensure data security and compliance when outsourcing data engineering, strict measures such as encryption, access control, regular security audits, and adherence to industry standards are implemented. However, the level of security and compliance is also dependent on the client’s specific protocols and requirements, ensuring that both parties align on data protection practices and regulatory obligations.







