SparkFetch puts screened engineers inside your team in days — contract, direct hire and forward deployed — with AI woven through how we source, assess and support them.
Everything else we do grows out of it. You talk to the people running your search, from the first call.
Sourcing, screening and delivery are AI-assisted. Judgement stays human; the grunt work does not.
Every profile is technically vetted before it reaches you. We would rather send three than thirty.
Staffing is where we ace it. Everything beside it exists to make the people we place more effective once they're in your team.
Contract, contract-to-hire and direct hire across every layer of the stack. This is the discipline we are built around — engineers who are screened, briefed and ready before they reach your shortlist.
Engineers who sit inside your environment, learn your systems and solve in place — closer to a teammate than a vendor resource. The model we reach for when the problem is moving faster than a job description can describe it.
A pod that owns an outcome rather than a timesheet — named delivery lead, fixed scope or managed capacity, and sprint reporting you can forward upward without rewriting it.
Application builds, cloud modernisation, data pipelines and internal tooling — delivered by the same bench we staff from, so the standard is the one you already know.
We use AI across sourcing, screening, matching and delivery — and we bring the same instinct into your engagements, so the work compounds instead of repeating.
The skill areas we recruit for — and, where you want it, deliver in. Depth in staffing is what makes the rest credible.
AWS, Azure and GCP builds, migrations, Kubernetes, DevOps and platform engineering.
Data engineering, warehousing, analytics, ML engineering and applied AI integration.
Java, .NET, Python, Node, React and mobile — greenfield builds and modernisation.
SAP, Oracle, Salesforce, ServiceNow and Workday — functional and technical roles.
IAM, cloud security, GRC, SOC and application security engineering.
Test automation, performance engineering, SDET and release quality.
Product design, front-end engineering, accessibility and design systems.
Application support, SRE, service desk and managed operations teams.
Not as a line on a capability slide. As the way our own work gets done — and the instinct our engineers carry into yours.
AI-assisted search across a far wider surface than manual sourcing covers, so the shortlist isn't limited to who happens to be visible.
Structured, scored evaluations against the actual requirement — consistent across every candidate, and written down so you can see the reasoning.
Our engineers arrive fluent in AI-assisted development and automation, so throughput climbs through an engagement rather than flattening.
Our process is deliberately visible. Here is exactly what happens after you call, step by step.
A working session with your hiring manager or delivery owner. We leave with the real requirement, not the job description.
We send a shortlist early and take your feedback on it before going wide. The search sharpens against your reaction.
Engineers assess engineers. You see a written evaluation with every profile, so you know why it reached you.
Coordinated interviews, honest feedback both ways, and offer support through to a signed start date.
Check-ins through the first ninety days. If it isn't working, we say so first and fix it.
Pick the commercial model that fits the work. We'll tell you if you've picked the wrong one.
Our people, your direction, billed by the hour or day. Best when the scope is still moving and you want control of priorities week to week.
Start someone on contract, convert them to your payroll on an agreed date and fee. Best when the role is permanent but the budget cycle isn't there yet.
A fixed monthly team with a delivery lead, reporting and a defined throughput. Best for a roadmap that runs for quarters, not weeks.
Defined deliverables, milestones and a fixed price. Best when the outcome is clear and you want the delivery risk carried by us.
Most staffing partners look identical on a slide. The difference shows up in how the work actually runs.
Not a pitch team followed by a delivery team you have never met. The people who scope your work are the people who run it.
No quota-driven resume spray, no dormant database dumps. Every submission is a decision someone made and can defend.
If we cannot staff a role well or deliver a scope properly, we will tell you at intake instead of six weeks in.
Forward deployed by default, briefed on your context before day one, so the ramp is measured in days.
Clear rates, clear margins on managed work, and no surprise pass-throughs at invoice time.
When a set of roles is really a project, we reshape the engagement instead of forcing it through the wrong model.
Technology needs look different in every sector. These are the environments our team knows.
SparkFetch is a technology staffing and services company. We place engineers, deploy them forward into client teams, and run delivery pods where an outcome needs owning end to end.
We exist because the gap between "we need this built" and "someone is building it" has become absurd. Requirements sit in queues. Shortlists arrive unscreened. Projects get staffed by whoever is free. We run the opposite way: fewer, better profiles, screened by engineers, supported by AI, and answerable to the person who briefed us.
Talk to our teamWe're hiring engineers, recruiters and delivery leads — and we're always open to strong technologists looking for their next contract, forward deployed assignment or permanent role.
Send your CV with the kind of work you actually want to do. We'll come back to you when something real matches — not before, and never with a role you didn't ask for.
Send your CVOne call is usually enough to know whether we're the right fit.
Start a conversationHiring, delivery or partnership — send us the detail and you'll hear back from someone who can act on it.
General enquiries and new business
Candidates and applications