Service · Hire data engineers
Hiring a data engineer through MV.tech means a named senior engineer, not a bench or a profile you never speak to. You brief the work, meet the person who will do it, agree the overlap hours in your local time and start on a written first milestone that is small enough to verify. You can hire through staff augmentation, as a scoped project, or through technology recruitment for a permanent employee in your own organisation.
The starting point
What we deliver
You meet the engineer who will do the work, review their experience against your stack and agree the role with them directly. The person you meet is the person who does the work; there is no bench, and you work directly with whoever writes the code.
Engineers who build and maintain Python and SQL pipelines from APIs, databases, files and SaaS tools into BigQuery, Snowflake, Amazon Redshift or PostgreSQL, with retries, logging, backfills and data quality checks. In a previous engagement at RootstockLabs, MV.tech's founder migrated HubSpot ingestion from Skyvia to Hevo, cutting the full-data load from 2 hours 45 minutes to 5 minutes.
Specialists for raw, staging, curated and reporting layers, fact and dimension models, source-to-target mapping and reconciliation, and dashboards in Power BI, Tableau, Looker Studio or Streamlit. They define KPI ownership and document what each dashboard can and cannot prove.
Engineers for RAG systems, MCP servers, custom AI connectors and scheduled automation that connect models to your databases, APIs and internal tools. The work starts from the data and permissions involved, which is why these roles sit alongside the data engineers rather than apart from them.
Engineers who set up and operate data platforms on AWS, Google Cloud or Azure, including Azure Data Factory, scheduled jobs, access control and monitoring. They work in your cloud account and your repositories, agreed before work begins, and hand over runbooks and recovery notes where needed when the engagement ends.
Every engineer is senior enough to shape scope, write acceptance criteria and challenge a brief, not only execute tickets. Overlap hours are written in your local time before the start, for example 9:00 am to 1:00 pm US Eastern or 9:00 am to 3:30 pm in the UK. MV.tech's founder holds the Google Cloud Professional Data Engineer certification.
Before work begins, the first deliverable, the systems involved, how correctness will be checked and the review date are written down. It is the basis on which you decide to extend, change the role or stop.
Embed an engineer or a small team in your workflow through IT staff augmentation, give MV.tech a scoped project to own, or use technology recruitment to hire a permanent employee into your organisation. The arrangement is reviewed as priorities change; recruitment is a separate engagement with its own scope and commercial terms.
A useful first project
It starts with a brief, not a contract. You describe the work, the systems, the timezone and the deadline on a scoping call, and we propose a named engineer and a first milestone small enough to verify: one pipeline, one reporting model, one dashboard set or one migration slice, with written acceptance criteria and a review date. The engineer works in your tools and your agreed overlap hours, posts written updates and ships something checkable by the review date. At the review you decide whether to extend into a longer embedded arrangement, hand over a larger scoped project or begin a permanent search for the same kind of role. The trial milestone is what reduces the risk: you judge the person on delivered work, not on a CV alone, and the decision to continue is yours.
See our delivery processWorking together
Share the workstream, required skills, timezone and duration. We propose a named senior engineer and you meet them before anything is agreed.
Write down the deliverable, acceptance criteria, overlap hours, repositories, access and review date so both sides know what done means.
The engineer ships the milestone with written validation; you then extend the engagement, change its shape or close it on evidence.
Teams our engineers have worked with
Before we begin
Not answered here? Ask us directly or read the full FAQ.
We quote after a scoping call. The figure depends on the role, seniority, allocated capacity, duration and the support expected outside overlap hours, so a number before that conversation would be a guess. MV.tech's remote model keeps office and account-management overhead out of the price, and we ask you to compare proposals on the same scope, seniority and support expectations.
Yes. India Standard Time overlaps every major business region for part of the day, and we agree the window in your local time before the engineer starts. Typical windows are 9:00 am to 1:00 pm US Eastern, 7:00 to 10:00 am US Pacific, 9:00 am to 3:30 pm in the UK, 9:00 am to 4:00 pm in Central Europe, most of the day in the Gulf and 12:30 to 6:00 pm in eastern Australia. Overlap does not mean round-the-clock support; any out-of-hours coverage is written into the scope separately.
Yes. A fractional arrangement of a few days a week suits a small team that needs senior judgement on pipelines, warehouse modelling or BI without a full-time hire. The capacity, the days and the overlap hours are agreed up front, and the engineer stays the same person for the duration rather than whoever is free that week.
A named engineer. You meet the person before anything is signed, review their experience against your stack and work with them directly for the duration. If the engagement grows into a team, composition, start dates and availability are confirmed during scoping rather than implied by the website.
With staff augmentation the engineer works inside your team under your leads' direction for an agreed capacity and duration. With a scoped project MV.tech owns a defined deliverable, its acceptance criteria and handover. With technology recruitment you hire a permanent employee into your own organisation and agree employment terms with them directly. We clarify which arrangement you need before discussing candidates or consultants.
Because you judge delivered work rather than an interview. The first milestone is small, written down and checkable: a pipeline that reconciles to the source, a model whose figures match the ones people report, a dashboard with documented definitions. If the result or the working relationship is not right, the engagement ends at the review with the work and its documentation handed over.
The workstream or backlog, the source systems and target warehouse or BI tools, the skills you need, the expected duration and capacity, your timezone and the hours that matter, and any constraints around security or access. A sanitised example of the data is enough for the first call; credentials are never needed for an enquiry.
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Embedded engineer or team
Add a named engineer or a small team to your own workflow, in your tools and overlap hours, for an agreed capacity and duration.
Scoped project
Hand MV.tech a defined deliverable with acceptance criteria and handover: pipelines, warehouse layers, migrations and data quality.
Permanent hire
Recruit a data, analytics, BI or AI engineer into your organisation, with an engineer shaping the brief and assessing technical fit.
Your next step
Bring your goal, current tools and preferred working hours. We use the first 30-minute conversation to clarify fit and an initial scope, and you leave with a written next step.
Remote from Ahmedabad, India · Overlap with any timezone · No obligation
