VARTEQ

Transform with Various Technologies

Data engineering services

Our data engineering services collect, clean and organize data from the sources you already have, so it is ready for reporting, products and machine learning.

AI CODING TOOLS WE USE

  • Claude
  • GitHub Copilot
  • Cursor
  • OpenAI
  • Gemini
  • Windsurf

See our work

Get expert help with your data engineering project

By sending this you agree to our Privacy Policy.

ISO/IEC 27001 certified

Data engineering we deliver

  • Data engineering consulting

    We map your data sources, identify what is missing, and define what a reliable pipeline needs before we build anything.

  • Data pipelines

    Pipelines that collect, clean, transform and store data from your sources, whether it feeds reports, an application or model training.

  • Business intelligence

    Reports fed into your BI tools from a shared data layer, so every team works from the same numbers.

  • Data analytics

    Historical and live data combined so people can see trends, such as prices across several marketplaces.

OUR WORK

Data engineering in practice

All case studies

RESULTS FROM SELECTED VARTEQ PROJECTS

What the work changed

WAYS TO WORK TOGETHER

Data engineering, at the level of involvement you choose

Hand over a few seats, a whole team, or the entire project. Each option sets out what you lead and what we take on.

  1. WE ADD ENGINEERS

    Staff augmentation

    Our engineers join your in-house team and work inside your process.

    YOU LEAD
    Roadmap, process, and day-to-day management
    WE TAKE ON
    Engineers with the skills your team is missing
    How it works
  2. WE RUN THE TEAM

    Dedicated team

    A stable VARTEQ team that works on your roadmap long term and grows or shrinks as plans change.

    YOU LEAD
    Product priorities and the roadmap
    WE TAKE ON
    Running the team and its delivery
    How it works
  3. WE OWN THE DELIVERY

    End-to-end project

    We take the project from scope to release and support, with milestones agreed up front.

    YOU LEAD
    Goals, scope, and sign-off at each milestone
    WE TAKE ON
    Architecture, build, testing, release, and support
    How it works
  • Claude
  • GitHub Copilot
  • Cursor
  • OpenAI
  • Gemini
  • Windsurf

  1. AI ASSISTS

    Drafting, testing, and reviewing code

  2. ENGINEERS DECIDE

    Architecture, security, and every merge

  3. YOU GET

    Releases our engineers are accountable for

AI FOR BUSINESS

Our engineers use AI and take responsibility for the results

We use AI tools to help write, test, and review code, while our engineers make the decisions and remain accountable for your project's architecture, security, and every release.

WHY VARTEQ

Built for the long run

Companies keep building with VARTEQ year after year. Some of our client relationships have lasted more than a decade.

Clients served
100+
Founded in Chicago
2014
ISO/IEC 27001 certified information security management system
Certified information security management.

FAQ

FAQs

Short answers to what clients usually ask before a first call.

Have a question that isn't here?

Ask us directly. A partner will reply to set up a first call.

Ask us
What data engineering work do you do?

We map data sources, build pipelines that collect, clean and transform data, and deliver it where it is used: BI reports, applications, historical databases or model training. Projects range from live pricing data for traders to a shared data preparation platform.

Can you work with our existing data sources and BI tools?

Usually, yes. We start by reviewing your sources, formats, access permissions and what the reports or systems downstream need, then agree the pipeline design.

How do you handle inconsistent or incomplete data?

We agree validation rules with you: what counts as consistent, how missing values are treated and which records need human review. Data quality is part of the scope, so its limits are clear before work starts.

Can you prepare data for analytics and machine learning?

Yes. For one client we built a shared platform for data collection, labeling and model training, with human review built in. Model design and AI features are covered by our AI development service.

What determines the project cost and timeline?

The number and state of your sources, data volumes, how often data needs to update and your security requirements. We assess these first and confirm the terms before work starts.

Who maintains the pipelines after launch?

We agree that in the scope: documentation and a handover to your team, ongoing monitoring and support by VARTEQ, or a mix of both.

SERVICES

Other services

All services

  • CREATE

    AI development

    Custom AI development for production business workflows.

    Learn more

  • TRANSFORM

    API integration

    Connect your applications to the systems and partners they rely on.

    Learn more

  • TRANSFORM

    Application modernization

    Upgrade the software you already run, in stages.

    Learn more

  • BUILD

    Software testing and QA automation

    Software QA, regression testing and test automation.

    Learn more

INSIGHTS

Recent thinking from our engineers

All insights

ARTICLE · MODERNIZATION

Legacy Modernization for 2026: Strategic System Upgrades That Matter

Why legacy systems became urgent in 2025, the most common modernization mistakes, four modernization paths for 2026, and a step-by-step playbook for CTOs.

Read article

GET STARTED

Let's talk about your project

Tell us where your data comes from, which systems hold it, how you want to use it and what is getting in the way. A VARTEQ partner will reply to arrange a first call.

Schedule a Call