Learn why successful companies embrace the liquid workforce
Data engineers

Hire data engineers who build pipelines and platforms you can rely on

Pre-vetted data engineers who join your team on daily or hourly rates, with no placement fees. Nearshore on UK hours, or onshore where your data has to stay in the UK. No minimum term.

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What a data engineer does

A data engineer builds and runs the systems that move, store and prepare an organisation’s data, so it can be trusted for reporting, products and AI.

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On a delivery team, a data engineer typically:

  • builds pipelines that bring data in from applications, databases and third-party systems
  • designs data warehouses and lakehouses on platforms such as Snowflake, Databricks or Microsoft Fabric
  • builds streaming pipelines with tools such as Kafka, where data needs to arrive in real time
  • sets up data quality checks, documentation and access controls
  • prepares data for analysts, data scientists and AI teams

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Data engineers build the foundations, while data scientists analyse the data and AI engineers build features on top of it. If you need either of those, see our data scientists and AI engineers. For an overview of the software, data and AI engineers we supply, see Software, Data & AI Engineers.

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When to bring in data engineers

Data engineers make the difference when your data isn’t arriving, isn’t trusted or isn’t ready for what the business wants to do with it.

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You’re moving to a new data platform
A migration to Snowflake, Databricks or Microsoft Fabric has a deadline, and your team is running the old platform too.
Reporting is held together by scripts
Every new report means another script, and nobody trusts the numbers.
A regulatory reporting deadline is coming
Your clients need new data, delivered on time, and your pipelines aren’t ready.
Your data isn’t ready for AI
The AI work is waiting on clean, well-documented data that nobody has had time to prepare.
A funded data platform project has landed
The vendor or client has a start date, and you need data engineers on it in days.

Data engineer profiles

Data engineering work varies with the platform and the business. These are some of the profiles we supply:

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  • Data engineer. Builds and maintains pipelines and integrations, and keeps data flowing reliably.
  • Data platform engineer. Designs and runs the warehouse or lakehouse, on Snowflake, Databricks or Microsoft Fabric.
  • Analytics engineer. Models data for reporting and analysis, so analysts can trust and reuse it.
  • Streaming engineer. Builds real-time pipelines with Kafka and similar tools.
  • Data engineering lead. Sets data architecture and standards, reviews work and leads a small group of engineers.

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If you need a different mix, tell us what the work involves and we’ll match profiles to it.

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How teams use data engineers

One data engineer or a whole data team, for as long as the work runs. You can start part-time, for example three days a week moving to five, and scale down with two weeks notice.

Where our data engineers work from

Most work nearshore in Central and Eastern Europe on UK hours. Where a client’s data has to stay in the UK, or the work needs people on site or with security clearance, engineers can work onshore. For US work, engineers in LATAM work US hours.

The Brightbox Approach

How we provide the best on-demand skills and teams

Define your need

We capture your project goals, tech stack, delivery context, team structure and required outcomes.

AI powered matching

Our platform analyses thousands of profiles to shortlist pre-vetted talent with the right skills, experience and availability.

Human interview

Human interviews with recorded assessments validate technical depth, approach to problem solving and cultural fit.

Technical tests and challenges

We use real world tasks and scenario based assessments aligned to your environment, so you see how candidates perform.

Final client interviews

You interview and select the Brightbox Associates who best meet your needs, supported by clear evaluation data.

Onboarding

We onboard the experts or teams quickly and smoothly, aligning tools, communication channels and ways of working.

Rapid placement

Engineers are deployed within days, not months, so your projects and products keep moving.

Continuous alignment

We run regular performance reviews and check-ins to ensure quality, fit and speed throughout the engagement.

How it works

When you hire data engineers through Brightbox, they join your team as associates. They work under your brand and your direction, and we handle the rest.

Daily or hourly rates

Time and materials, billed on time you’ve signed off.

One person or a team

No minimum headcount.

No minimum term

Two weeks notice to scale down, either way.

Deployed in days

Not the months a permanent hire takes.

Replacement cover

If someone isn’t the right fit, we replace them and carry our cost during the handover.

You own the IP

Everything they build is yours.

Governance

A management layer around every engagement, so you’re not the one carrying a bad fit.

Your clients stay yours

Our people work under your brand, and we never approach your clients.

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Why choose Brightbox

The Brightbox advantage

01
Instant access to global talent

Profiles against your brief, usually within a day.

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02
AI-driven precision

We’re investing in technology to keep improving how quickly and accurately we match people to your brief.

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03
Outcome first delivery

Each engagement starts from what you need running, and by when.

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04
Flexible engagement models

One data engineer or a whole data team, scaled up or down with two weeks notice.

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Trusted by leading organisations

Product companies, consultancies and systems integrators use Brightbox to add delivery capacity when the work lands.

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FAQs
Data engineers
How much does it cost to hire a data engineer through Brightbox?

Data engineers are on daily or hourly rates, which depend on seniority and where they work from. Ask and we’ll send a rate card, usually within hours.

How quickly can a data engineer start?

Usually within days, rather than the months a permanent hire takes.

Data engineer, data scientist or AI engineer: which do I need?

A data engineer builds the pipelines and platforms that make data reliable and available. A data scientist analyses that data and builds statistical models. An AI engineer builds product features that use AI models. If you’re not sure, tell us what you’re trying to do and we’ll suggest the right profile.

Do your data engineers work with Snowflake, Databricks, Microsoft Fabric and Kafka?

Yes. Tell us your platforms and tools and we’ll match engineers with experience in them.

Can we outsource data engineering to you?

We supply data engineers who join your team and work under your direction, so you keep control of your data and your platform. If you need someone to own a data project from start to finish, we can introduce a proven delivery partner from our network who takes on that responsibility.

Our data can’t leave the UK. Can you help?

Yes. Where data has to stay in the UK, we supply onshore associates who can work within those requirements. Tell us the requirements at the start, so we match the right people.

Can your data engineers work on regulated or public sector projects?

Yes. Where a client requires people who are onshore, on site or security-cleared, we supply UK-based associates who meet those requirements. See our security-cleared government associates.

Can a data engineer work remotely?

Yes. Most work remotely, nearshore in Central and Eastern Europe on UK hours, so they’re online when your team is. Where a client needs people on site, engineers can work onshore.

Can we hire data engineers for just a few months?

Yes. There’s no minimum term, and you can scale down with two weeks notice. Engagements shorter than about six weeks rarely work, because onboarding takes too much of the time.

Who owns the pipelines and code?

You do. Everything they build, including pipelines, data models and code, is yours.

How do you handle IR35?

We’ve worked both inside and outside IR35, and we work with a partner to help with status determinations when needed.

Need data engineers for your next platform or pipeline?

Send us a short brief. We’ll come back with profiles and rates, usually within a day.