Hire Data Engineers
Transform fragmented data into a strategic business asset with experienced data engineers who design, build, and optimize modern data platforms. Kyanon Digital helps organizations create reliable data pipelines, cloud-native architectures, and real-time analytics capabilities that power smarter decisions, operational efficiency, and AI innovation.
14 YEARS
in Agile Engineering & Software Development
500+
Consultants & Engineers
5
Global Offices
100+
Clients, including Fortune 500
24 hours
To send your requested CVs with rates
2-5 days
To organize interviews with qualified candidates
2-4 weeks
To join your team and start the work
Why Vietnam?
Vietnam’s IT outsourcing market is projected to grow at a compound annual growth rate (CAGR) of 12.23% between 2024 and 2029, reaching an estimated market volume of $1,237 million by 2029.
A large, young and highly competent workforce in IT
530,000
57,000
Significantly improved English Proficiency adding to Vietnam’s competitive advantages among popular IT outsourcing destinations worldwide
Global EF Ranking
- 20Philippines
- 25Malaysia
- 45Ukraine
- 58Vietnam
- 60India
- 82China
- 101Thailand
Highly Competitive IT Labour Cost
Why Partner with Kyanon Digital?
We build your team strategically, aligning talents with your software vision, roadmap, and modern engineering practices — not just job requirements. With ongoing AI upskilling and expert support from our Center of Excellence, your talent can apply AI-assisted ways of working across coding, testing preparation, documentation, reporting, and problem solving.
Kyanon Digital talent ecosystem encompasses over 50,000 technology professionals
- Internal Talent Core: 500+ professionals
- K-Fresh Program: Nurturing Future Digital Leaders from 18 Universities in Vietnam
- External Talent Network: 15,000+ premium candidates
- Partner Network: 1,000+ trusted partners
We manage from talent acquisition to HR management for your tech workforce, freeing your team to focus on core business and innovation.
- Recruitment & Placement
- Legal Employment of Staff
- Payroll Processing
- HR Management
- Account Managers
- Professional Development
- 24 hour IT Support
- Proprietary Management Technology
- Employee Engagement
- Premium Facilities & Workstation
- Quality Control & Technical Expert Support
- Train the Trainer
Dedicated Employees
OUR CLIENT
- Business Strategy & Growth
- Projects Strategy & Roadmap
- Personnel Selection
- Performance Management
- Internal Workflow
- Domain Training & Develop
Our Awards & Recognitions
Why Outsource Data Engineering to Kyanon Digital?
Many AI and analytics initiatives fail not because of poor models, but because of unstable, fractured data foundations. At Kyanon Digital, we provide instant access to world-class Data Engineering talent ready to integrate into your workflows and transform your raw, messy data into an enterprise-grade asset.
Fast Onboarding
Skip the months of recruitment. Deploy vetted Data Engineers, Architects, and Database Administrators to your project within weeks.
1
Production-Grade Pipelines
Our engineers focus on operational stability, build quality, and system resilience, moving your data seamlessly from ingestion to consumption.
2
Agile Integration
Our engineers adapt to your time zones, internal tools, and Agile/Scrum processes, acting as a natural extension of your home team.
3
Cloud Cost Optimization
We don’t just build pipelines; we optimize query speeds and storage layers to minimize your monthly cloud infrastructure overhead.
4
What Our Data Engineers Can Build For You
Our Data Engineers bring extensive domain knowledge across industries like Retail, Logistics, Fintech, and Healthcare. We architect systems that ensure your data is secure, clean, and accessible when you need it.
Enterprises Data Lakes & Warehouse
We design and implement centralized, modern storage architectures—including Data Lakes, Cloud Data Warehouses, and Lakehouses—tailored to your scale.
Robust ETL/ELT Pipelines
We build highly automated, fault-tolerant pipelines to extract, clean, transform, and load data from heterogeneous sources (SaaS tools, legacy databases, web hooks).
Real-time Streaming Architectures
Capture and process high-velocity, high-volume streaming data (IoT logs, transaction feeds, clickstreams) in real time to enable instantaneous dashboards and automated alerts.
Advanced Data Ingestion & Integration
Consolidate disparate data silos from across your enterprise into a single, unified source of truth with high-throughput API integrations.
Production Foundations for AI & BI
We establish clean, well-indexed, and structured staging grounds that allow your Business Intelligence (BI) tools and Machine Learning models to run with peak efficiency.
Let Data Experts Bring Your Vision to Life
Tell us about your goals, challenges, and requirements, and our team will respond swiftly with tailored insights, expert recommendations, and a strategic action plan to move forward.
What are the key factors to consider when hiring Data team in Vietnam?
Vietnam has established itself as a highly attractive destination for outsourcing IT infrastructure and cloud engineering. However, building a dedicated Data Engineering team requires a unique set of evaluations compared to hiring standard frontend or backend developers, because these engineers will be handling the core nervous system of your business.
Technical Expertise & Domain Knowledge
- Core AI skills: Proficiency in supervised learning (Regression, SVMs, Decision Trees), unsupervised learning (K-means, Hierarchical Clustering), and advanced fields like Deep Learning, NLP, Computer Vision, and Generative AI.
- Software development: The team must possess full-stack capabilities to integrate models into your existing applications, microservices, or APIs.
- Modern Toolstack: Hands-on mastery of languages and frameworks like Python, PyTorch, TensorFlow, Scikit-learn, OpenCV, and cloud ecosystems (AWS SageMaker, Google Vertex AI, Azure ML).
Talent Quality & Team Composition
- Availability of pre-vetted engineers, data scientists, and MLOps specialists.
- Balance of senior-level AI experts and scalable junior/mid-level talent.
- Ability to customize team structure (e.g., team leads, QA, DevOps).
Communication & Collaboration
- English proficiency (especially for lead roles).
- Experience working in Agile/Scrum environments.
- Overlap in working hours with your time zone or flexibility to adjust.
- Tools used: Jira, Slack, Zoom, Confluence, etc.
IP Protection & Security Standards
- NDAs and contracts aligned with your data privacy requirements.
- ISO 27001 or equivalent security certifications.
- Infrastructure for secure development environments
Scalability & Flexibility
- Ability to ramp up/down the team quickly based on your project needs.
- Support for long-term engagement or transition to in-house over time.
- Option to start small (e.g., 2-3 members) and grow as needed.
Cost Transparency & Engagement Models
- Clear pricing structure (hourly, monthly, T&M, fixed price).
- No hidden fees for onboarding, management, or infrastructure.
- Models offered: AI-Assisted Full Software Outsourcing, AI-Driven Dedicated Agile Team, AI-Enabled Staff Augmentation.
Vendor’s Track Record & Reputation
- Proven success in AI, ML and software development projects.
- Case studies or client references available.
- Years of experience in the Vietnam tech ecosystem.
- Thought leadership or community contribution in AI/ML space.
Cultural Fit & Working Style
- Alignment in work ethic, communication norms, and values.
- Willingness to act as a true partner, not just a vendor.
- Proactive, problem-solving mindset.
Kyanon Digital’s Approach to Scalable Data Engineering
At Kyanon Digital, we don’t just write SQL scripts; we engineer robust, highly scalable data ecosystems designed for long-term growth.
- We start by mapping your data infrastructure to your business goals. Whether you need a centralized Cloud Data Warehouse, a flexible Data Lakehouse, or a decentralized Data Mesh, we design modular architectures that decouple storage from compute. This allows your infrastructure to scale efficiently as data volume explodes, without locking you into rigid legacy systems.
- Data from legacy CRMs, ERPs, and external APIs is rarely clean or formatted. We engineer highly resilient pipelines that automate the extraction, loading, and transformation of fragmented data. Our pipelines are built with self-healing capabilities and automated retry logic to ensure no data is lost during system outages or network spikes.
- We leverage the full power of modern cloud ecosystems (AWS, GCP, Azure, Snowflake, Databricks). By utilizing serverless processing and auto-scaling compute clusters, we ensure your data platform dynamically handles peak reporting hours or sudden data spikes, while automatically spinning down during off-hours to minimize infrastructure costs.
- Garbage in, garbage out. We apply rigorous software development practices (DataOps) to your data pipelines. We implement CI/CD for data code, automated schema validation, and continuous monitoring. If corrupted data or anomalies enter the pipeline, our automated alerting systems catch and isolate them before they corrupt your BI dashboards or Machine Learning models.
- We treat data security as foundational, not as an afterthought. Our architectures integrate strict data governance protocols from day one, including Role-Based Access Control (RBAC), dynamic data masking for Personally Identifiable Information (PII), and end-to-end encryption to ensure you remain fully compliant with global data privacy laws.
- A data platform is a living ecosystem, not a set-and-forget product. Upstream source APIs update, schemas change, and data volumes grow exponentially over time. We don’t just build and walk away. Our teams provide ongoing, proactive support to monitor pipeline health 24/7. We continuously resolve broken integrations, optimize slow-running queries, adapt architectures to ingest new data sources, and right-size your cloud resources to prevent cost bloat as your data footprint expands.
Our Data Services Offering
Data Management & AnalyticsBuild a strong foundation for data-driven decision-making with comprehensive data management and analytics capabilities. We can develop solutions from scratch, modernize existing systems, establish compliant data governance frameworks, and provide ongoing operational support.
SELECTED AI TECHNOLOGIES WE MASTER:
Business intelligenceTurn fragmented data into actionable insights through centralized reporting and intuitive dashboards. Our BI solutions help organizations gain real-time visibility into performance, improve decision-making, and empower teams with reliable analytics.
SERVICES WE OFFER:
Data warehousingCreate a single source of truth by consolidating enterprise data into scalable, high-performance data warehouses optimized for reporting, analytics, AI, and research initiatives.
SERVICES WE OFFER:
Data science & AILeverage advanced analytics and artificial intelligence to automate processes, personalize customer experiences, detect anomalies, monitor assets, and uncover new growth opportunities. We deliver practical AI solutions that generate measurable business outcomes.
SERVICES WE OFFER:
Big dataDesign and implement large-scale data ecosystems capable of processing massive volumes of structured and unstructured data. Our solutions support real-time analytics, intelligent automation, and high-performance applications serving thousands of users.
SERVICES WE OFFER:
Estimating the Cost of Your Data Development Project
The cost of Data development varies widely, typically ranging from $30,000 USD. Several key factors influence the final price, including:
Complexity & Scope
Simple ML solutions cost less, while advanced, large-scale systems require greater investment.
Custom vs. Pre-Trained Models
Developing a proprietary Data model involves higher costs than using and fine-tuning pre-trained models.
Integration Requirements
Seamlessly embedding AI into existing software or infrastructure may add to the overall expense.
Get a Personalized Data Development Cost Estimate
Wondering what your Data project might cost?
Pricing Model For Data Engineers Hire
Kyanon Digital provides flexible Pricing models for Data Development and Post Production Support & Maintenance.
Data Development Pricing Models
Category
AI-Assisted Full Software Outsourcing
AI-Enabled Staff Augmentation
AI-Driven Dedicated Agile Team
Best For
Well-defined projects with clear scope and deliverables.
MVPs, mobile apps, or small business solutions.
Projects with evolving requirements and agile development.
SaaS platforms, AI/ML projects, complex integrations.
Long-term projects requiring continuous updates and feature expansion.
Enterprise solutions, large-scale cloud applications.
Cost Structure
Fixed upfront cost with milestone payments.
Hourly or daily rates based on actual work completed.
Monthly retainer for a team with dedicated resources.
Flexibility
Low – Changes require contract adjustments.
High – Adjust scope and team size as needed
High – Direct control over team priorities.
Risk Allocation
Vendor assumes most risk – delays or overruns are absorbed
Shared – Client pays for actual effort; vendor ensures efficiency
Client takes most of the risk but gains deep expertise and retention
Time-to-Market
Faster – Predefined scope ensures timely delivery.
Moderate – Agile approach may extend delivery but ensures adaptability
Longer – Best suited for continuous product development
Client Involvement
Low – Suitable for hands-off management
Medium – Regular client input needed for prioritization
High – Client directly manages or collaborates with the team
Scalability
Low – Fixed contract limits major expansions
High – Easily scales up or down based on workload
Very High – Dedicated team ensures seamless scaling over time.
Support & Maintenance Pricing Models
Category
Retainer Package
Pay-As-You-Go (On-Demand Support)
SLA-Based Support
Best For
Businesses needing ongoing maintenance, security, and updates. SaaS, fintech, and cloud applications.
- Companies with occasional support needs.
- Best for minor bug fixes, security patches, and system optimizations.
- Enterprises requiring guaranteed uptime and fast response times.
- Healthcare, finance, and mission-critical applications.
Cost Structure
Fixed monthly fee based on support tier (e.g., Basic, Standard, Enterprise).
Billed per incident or hourly (e.g., $100/hr for bug fixes, $500 for database optimizations).
Pricing tied to uptime guarantees and response times (e.g., 99.9% uptime SLA at $15,000/month).
Response Time
Standard response based on plan (e.g., 24-hour turnaround for non-critical issues).
No guaranteed response time – handled based on availability.
Guaranteed fast response times (e.g., <1 hour for critical issues).
Predictability
High – Costs remain stable and budget-friendly.
Low – Costs vary depending on issue frequency.
Monthly retainer for a team with dedicated resources.
Risk Allocation
Shared – Vendor ensures uptime, client ensures proper usage.
Client takes more risk – If a major issue arises, costs may spike.
Vendor assumes most risk – Penalties apply for SLA breaches.
Scalability
Moderate – Can upgrade to a higher tier as needs grow.
Low – Not ideal for scaling businesses.
Very High – Custom SLAs can accommodate large-scale applications.
Our Data Tech Stacks
Cloud data storage
Data warehouse technologies
Data integration
Data visualization
Big data
Machine learning platforms and services
Cloud services
Security and governance tools
Our Success Stories
Trusted by Industry Leaders
Our Outsourcing Insights
FAQ
Absolutely. This is the core purpose of data engineering. We don’t expect your data to be organized when we start. Our engineers build robust ETL/ELT (Extract, Transform, Load) pipelines to pull data from heterogeneous, fragmented sources. We clean, format, and load this data into a modern, centralized Cloud Data Warehouse or Data Lake (such as Snowflake, Google BigQuery, or Amazon Redshift) to create a single source of truth for your entire enterprise.
Yes. “Garbage in, garbage out” is the most common analytics failure. If your dashboards are inaccurate, the problem usually lies in fragile upstream data pipelines. We implement strict DataOps methodologies and automated data quality checks. Our engineers build self-healing pipelines with schema validation, deduplication, and anomaly alerting. We catch and isolate corrupted data before it ever reaches your business intelligence tools.
Cloud cost bloat is usually the result of poor architectural design, unoptimized SQL queries, and over-provisioned servers. Our Data Engineers apply FinOps principles from day one. We design modular architectures that separate storage costs from compute costs. We optimize database indexing, partition your data efficiently, and utilize auto-scaling, serverless compute resources so you are only billed for the exact processing power you use.
Data Engineers are the builders. They are software developers who architect the infrastructure, databases, and automated pipelines to move data reliably at scale.Data Analysts and Data Scientists are the consumers. They use the infrastructure built by engineers to create dashboards, uncover business insights, or train AI models. If your analysts are spending 80% of their time manually exporting CSVs or waiting for data to load, you need to hire Data Engineers to build a scalable foundation first.
Data security is our foundational priority. We enforce rigorous Non-Disclosure Agreements (NDAs) and operate exclusively within your secure, isolated cloud environments. Our Data Engineers implement strict data governance protocols, including Role-Based Access Control (RBAC), end-to-end encryption, and dynamic data masking for Personally Identifiable Information (PII), ensuring your infrastructure complies with global frameworks like GDPR and HIPAA. You retain 100% ownership and control of your data at all times.
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- contact@kyanon.digital
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