MV.tech services

A dedicated data engineering team for your business.

Extend your delivery capacity with data engineers and analytics specialists from India. MV.tech provides dedicated teams for data integration, cloud warehouses, BI and data quality. Work with a defined team, an agreed backlog and collaboration hours that fit your business.

  • Remote from Ahmedabad, India
  • Overlap with your timezone
  • Senior specialists, direct access
  • Scope agreed in writing

The starting point

Build capacity around the work you need delivered.

  • Develop a data platform while your internal team continues supporting the business.
  • Bring engineering, modelling and reporting skills together for a migration or analytics programme.
  • Keep ownership of priorities while adding delivery capacity for an agreed duration.

What we deliver

A team that can work across the data lifecycle.

01

Pipelines and source integrations

Engineers connect APIs, files and databases to your warehouse and maintain ingestion schedules, transformation logic and recovery procedures.

02

Warehousing and analytics engineering

Build warehouse layers, fact and dimension models, curated SQL views and reusable reporting datasets on the platforms you use.

03

BI and data quality

Add dashboard, semantic modelling and reconciliation expertise alongside the engineers building the data platform.

04

Team integration and continuity

Agree roles, capacity, review routines and reporting with your leads. Work in your repositories and collaboration tools, with documentation and handover included in the engagement.

  • Python
  • SQL
  • BigQuery
  • Snowflake
  • Amazon Redshift
  • PostgreSQL
  • Power BI
  • Tableau
  • Looker Studio
  • Streamlit
  • Azure Data Factory
  • AWS
  • Google Cloud
  • REST APIs
  • layered SQL modelling

Business applications

Where this service fits.

  • Warehouse modernisation. A delivery team for source discovery, migration, model development and report transition.
  • Ongoing data operations. Capacity to maintain pipelines, onboard new sources and address data quality issues.
  • Reporting expansion. Engineers and BI specialists working together on a new business domain or reporting programme.

Engagement scope

Agree the team structure before committing capacity.

Share your roadmap, current platform, required skills and preferred working hours. We discuss the roles needed, availability, responsibilities and engagement duration. You can begin with a defined workstream and review the team arrangement as the workload develops.

See our delivery process

Working together

How we deliver this work.

  1. 01

    Define the roles

    Translate the backlog into the engineering, analytics and reporting skills required.

  2. 02

    Agree the working arrangement

    Confirm available specialists, capacity, tools, collaboration hours and review responsibilities.

  3. 03

    Deliver and review

    Track work against the agreed backlog, demonstrate progress and review team needs at planned intervals.

Teams our engineers have worked with

  • Google
  • Volvo
  • BCW
  • RootstockLabs
  • Chainlabs
  • Toptal
  • Turing

Before we begin

Common questions about hiring an offshore data engineering team

Not answered here? Ask us directly or read the full FAQ.

Is MV.tech a data consultancy company for an offshore team?

Yes. MV.tech is a data, software and AI consultancy based in Ahmedabad, India. For offshore data work, we provide senior remote data engineering and analytics capacity for ETL, cloud warehouses, BI, data quality and reporting, with overlap hours agreed around the client's timezone.

How is this different from generic offshore staffing?

The engagement is engineering-led. We help shape the scope, define acceptance criteria, validate the data and document handover. You can use the team like embedded capacity, but the work is still managed around a concrete outcome rather than resumes alone.

Can the team overlap with US, UK, EU, Gulf or APAC hours?

Yes. MV.tech works from India Standard Time and agrees a collaboration window before the engagement begins. Typical overlap is possible with US Eastern mornings, UK and European business hours, Gulf hours and Asia-Pacific afternoons.

Can we start with one part-time data engineer?

Yes. A first engagement can be a scoped milestone, a part-time specialist or a small embedded team. The right shape depends on the backlog, access needed, review bandwidth and how quickly decisions can be made.

What should we share before asking for an offshore data team?

Share the reporting or data problem, source systems, target warehouse or BI tools, desired timeline, timezone and any constraints around security or access. A sanitised example is enough for an initial call; credentials are not needed for an enquiry.

How much does an offshore data engineering team in India cost?

Pricing is agreed per engagement and we quote after a scoping call. A first engagement can be a part-time specialist, one senior specialist or a small embedded team, with capacity, duration and overlap hours agreed before work begins. The first milestone is written down with acceptance criteria, so you can judge the result before deciding whether to extend the team.

Should we choose data engineering staff augmentation or a scoped consulting engagement?

MV.tech offers both shapes. Staff augmentation adds embedded capacity that works in your project tools with visible updates and review notes, while a scoped engagement is managed around one concrete outcome; in both cases the work is engineering-led, so we help shape the scope, define acceptance criteria, validate the data and document handover. You can start with one scoped milestone, validate the result, then decide whether to extend into embedded capacity.

Your next step

Discuss your data team.

Tell us about the work, your current systems and the people who will use the result. We’ll discuss the requirements, delivery options and what an engagement would include.

Book a 30-minute call Email your brief contact@mvtech.solutions

Remote from Ahmedabad, India · Overlap with any timezone · No obligation