Data Engineering Services
Turn fragmented data and legacy platforms into reliable, scalable foundations for analytics and AI. LTS Group’s data engineering consulting services combine strategic advisory with hands-on engineering to unify data sources, modernize platforms, and establish functioning data flows across your data ecosystem.
Our Domain Expertise
Manufacturing
Construction
eCommerce & Retail
Finance
Logistics
Healthcare
Manufacturing
Connect production, sensor, quality, maintenance, and operational data across manufacturing systems (SCADA, MES, ERP) to improve plant visibility, support predictive maintenance, and provide reliable inputs for analytics and AI.
Our Data Engineering Service Process
STEP 1 - Discovery & Requirement Assessment
We start by understanding your business goals, data sources, existing infrastructure, quality issues, and technical requirements. This helps us define the right scope, priorities, and approach for your project.
STEP 2 - Architecture Consulting & Solution Planning
Our data engineering experts assess your current environment, identify gaps, and recommend the right architecture for your use cases. From there, we define the target architecture, technology choices, integrations, security requirements, and implementation roadmap.
STEP 3 - Pipeline Engineering & Integration
Our team builds pipelines, transformation workflows, models, and integrations to connect sources and prepare reliable information for analytics, applications, and other downstream use cases.
STEP 4 - Quality & Reliability Validation
Once data pipeline is properly built, we validate accuracy, completeness, pipeline reliability, integrations, and performance to make sure information moves correctly and remains dependable across downstream systems.
STEP 5 - Deployment, Monitoring & Optimization
We move pipelines and platforms into production, set up monitoring, and continuously maintain and optimize them as volumes, workloads, and business evolve.
Our Tech Stack
Our Case Studies
Real-world projects where LTS Group partnered with clients on their enterprise AI transformation journey.
HIPAA-Compliant RAG Q&A Assistant
Financial Data Mapping Platform
Ricoh AI Sales Agent
Cooperation Models for Data Engineering Services
Forward Deployed Engineering (FDE)
Our forward-deployed engineers embed with your business and data teams, on-site when needed, to work directly in your data environment. They combine consulting with hands-on engineering, staying involved from problem discovery and architecture through pipelines, integrations, and production rollout.
BEST FOR
- Complex or evolving data challenges
- Data integration and modernization
- Initiatives requiring both consulting and hands-on engineering
- Projects that benefit from embedded or on-site collaboration
Staff Augmentation
Add experienced data engineers to your existing team based on the skills, capacity, and timeline you need. You keep control of day-to-day priorities while LTS provides the additional expertise.
BEST FOR
- Short-term skill or capacity gaps
- Specialized data engineering needs
- Workload peaks or tight deadlines
- Teams that retain project ownership
Dedicated Team
A dedicated data engineering team works as an extension of your organization for ongoing development, modernization, and operations, with stable capacity and deeper knowledge of your data environment over time.
BEST FOR
- Long-term data initiatives
- Continuous platform development
- Ongoing pipeline and DataOps needs
- Teams requiring stable engineering capacity
Why Choose LTS Group's Data Engineering Services
Domain-specialized Expertise
We apply domain knowledge to design data solutions around real business processes, data requirements, and industry-specific challenges. Our experience helps ensure that data architectures and workflows support both technical needs and business goals for specific demand of each industry.
Tailor-made Solutions
LTS Group designs data architectures that fit your existing systems, use cases, and technology stack. From pipelines and data models to integrations and processing workflows, each component is tailored to how your organization collects, manages, and uses data.
≥5-year-experience Data Engineers
Our data engineering team brings hands-on experience across data architecture, integration, cloud platforms, pipelines, data quality, and modern data technologies, supporting reliable delivery across complex data environments.
Governance and Compliance-first
We incorporate security and governance throughout the data lifecycle, including access control, secure data handling, data quality practices, and compliance-aligned processes to protect sensitive information and maintain data integrity.
Cost Efficiency
We optimize engineering resources, infrastructure, and data workloads to help control development and operating costs. Our approach focuses on building what your business needs without compromising reliability, performance, or scalability.
AI-assisted Data Engineering
We use AI-assisted workflows to speed up pipeline development, transformation logic, debugging, and repetitive engineering tasks while keeping engineers in control of architecture and validation. This reduces manual work, shortens iteration cycles, and helps surface issues earlier.
Wall Of Achievements
We are dedicated to constantly improving our competencies through achievements and certifications in multiple fields. With solid figures proving our experience, you are well-assured of high-quality services and products.
97%
Satisfaction
10
Countries
275
Projects
61+
Clients
FAQs About Data Engineering Services
Our data engineering services cover strategy and architecture consulting, batch and streaming pipelines, migration and integration, data platforms and warehousing, quality and governance, analytics- and AI-ready data, and ongoing data platform operations.
Yes. We assess your current data environment and design around the systems, databases, APIs, and cloud platforms already in place. Our approach focuses on connecting and modernizing your data environment without requiring unnecessary replacement of existing systems.
Where needed, we also modernize legacy integrations and pipelines to reduce silos and improve connectivity across the enterprise.
We apply validation rules throughout the pipeline and use monitoring, retry logic, and backfill mechanisms to identify failures, reduce data loss, and recover interrupted jobs. Data lineage and metadata cataloging also make data easier to trace and validate before it reaches analytics or AI workloads.
We incorporate governance throughout the data lifecycle through data lineage, metadata cataloging, role-based access controls, and architecture designed around your security and compliance requirements. This keeps data traceable while ensuring the right users have access to the right information.
LTS Group provides ongoing platform operations, monitoring, maintenance, and optimization after deployment. For data and ML workloads, this can include CI/CD, pipeline monitoring, observability, feature store management, and early detection of pipeline failures or model performance degradation.
61+ International Brands Trust Us
61+ International Brands Trust Us
Clients have placed faith in LTS Group's custom software development services and achieved their goals. It's your turn to cooperate with us, take a leap and hit the ground running.
Make Every Data Point Count Across Complex Systems
Share your current data landscape, priorities, and challenges with us, and we’ll define the right approach to connect, modernize, and govern your data for strategic edge.
Email:contact@ltsgroup.tech
Phone:(+84) 96-238-7474
Headquarters:17th Fl, MD Complex Office Building, 68 Nguyen Co Thach Street, Hanoi, Vietnam
Japan:5F, Iwamoto Building, 3-20-10 Shibaura, Minato-ku, Tokyo 108-0023, Japan
US:25787 Rawley Springs Dr, Chantilly, VA 20152
South Korea:Room 1214, 12th Floor, Daerung Seocho Tower, 327 Gangnam-daero, Seocho-gu, Seoul, South Korea
Australia:1/63 Cobden Street, Kew VIC 3101, Australia
