Data & Analytics · Capability

Big Data.

Big data engineering handles volume, velocity and variety beyond a single database, distributed processing and streaming that keep performance and cost under control at scale.

SparkFlinkBeamKafka
What it is

What is Big Data?

Big data engineering handles volume, velocity and variety beyond a single database, distributed processing and streaming that keep performance and cost under control at scale.

Acveti delivers Big Data with senior, AI-fluent engineers, as an extension of your team or a managed pod that owns the outcome. Whether you’re starting fresh, scaling, or modernising, you get the depth to make the right calls and the accountability to ship.

48h to shortlist
Big Data experts
Senior · AI-fluent
Big Data · Data & Analytics
CategoryData & Analytics
Engage asSpecialist or pod
DeliveryOnshore · Remote · Offshore
Start~48h to shortlist
Business problems it solves

Why teams invest in Big Data.

01

Data you can’t trust

Numbers that disagree, pipelines that break, and reports no one believes.

02

Slow to insight

Every question means a bespoke extract; leadership flies blind.

03

Not AI-ready

Data too messy or siloed to power analytics or machine learning.

Common use cases

Where Big Data delivers.

  • A single source of truth for the business
  • Self-serve dashboards and trusted metrics
  • Real-time data for products and operations
  • Clean, governed data to power AI
Benefits

What Big Data unlocks.

Decisions on evidence

Trusted data leadership can act on.

Faster answers

Self-serve instead of ticket queues.

Scales cleanly

Performance and cost under control as volume grows.

AI-ready

A foundation your ML and analytics can rely on.

Frameworks, tools & ecosystem

The Big Data toolkit, covered.

Our engineers are hands-on across the Big Data ecosystem, and pragmatic about choosing the right tool for your context.

Processing

SparkFlinkBeam

Streaming

KafkaKinesis

Storage

Delta LakeIcebergS3
A higher bar, without the wait
Challenges & how Acveti helps

The hard part isn’t the tech, it’s the talent.

Most Big Data initiatives don’t stall on tooling; they stall on finding senior people who’ve done it before, fast enough to matter.

Senior, proven engineers.An average of 7+ years, admitted through a demanding five-stage funnel.
Matched in 48 hours.Meet pre-vetted specialists in days, not the months hiring takes.
Own the outcome.A specialist for your team, or a managed pod accountable end to end.
48-hour matchingTwo-week risk-free trialNamed-developer guarantee
Our delivery approach

How we deliver, end to end.

A pragmatic path from goal to a running system, with the IP yours throughout.

  1. 01
    Discover

    Understand the goal, constraints and current state, and agree what success looks like.

  2. 02
    Architect

    A pragmatic target architecture and a plan that de-risks delivery from day one.

  3. 03
    Build & iterate

    Senior, AI-fluent engineers ship in your rituals, with quality and tests built in.

  4. 04
    Run & scale

    Monitor, harden and scale, and hand over cleanly, with the IP yours throughout.

Industries served

Domain fluency, not just clean code.

Big Data shows up across sectors: our engineers bring domain fluency, not just the stack.

Explore all industries
By the numbers
SeniorEngineers deployed
0+Countries covered
0%Engagement retention
0%Applicant admission bar
Related expertise

Explore more in Data & Analytics.

Questions, answered

Big Data, answered.

Let’s talk

Build with Big Data.
Meet your first specialist this week.

Book a 30-minute call. Share your stack and whether you want talent onshore, remote, or offshore: we’ll line up pre-vetted candidates. No commitment, no recruitment fees.

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