Data · Cloud · AI staffing

Most agencies send you CVs.
We send engineers who ship on day one.

AnP32 Tech Solutions is a specialist staffing firm built by data & cloud practitioners. Every candidate is technically vetted by engineers who work hands-on with Databricks, Spark, Gen AI, Azure and AWS - not screened by a recruiter matching keywords.

candidate_pipeline
# new requirement intake
candidate = load("raw_intake")
 
# screened by engineers, not recruiters
technical_review(candidate) ✓ passed
system_design_pairing(candidate) ✓ passed
 
# ready for your team
publish_to_client(candidate)
The problem with most staffing

Buzzwords aren't a skill test.

A generalist recruiter can match a keyword. They can't tell you whether someone has actually built a production pipeline, tuned a Spark job under load, or shipped a RAG system past a demo. We can - because we've done it.

Typical agency

  • CVs padded with buzzwords
  • Candidates who've "heard of" Databricks but never built a pipeline
  • Weeks of back-and-forth on mismatched profiles
  • Screening done by keyword match

AnP32 Tech Solutions

  • No CVs pulled from resume databases
  • Every profile hands-on tested by a working engineer
  • Shortlists that match the actual role, fast
  • Screening done by people who ship this stack daily
How we vet

Every candidate runs through our own medallion pipeline.

We treat vetting the same way we treat data quality: nothing reaches you until it's been validated, deduplicated and reviewed at every layer.

Bronze

Raw intake

Every requirement is reviewed by a practising engineer - not a resume-matching database.

load("raw_candidates")
Silver

Technical screen

Hands-on review by engineers who work daily in Databricks, Spark and cloud platforms.

technical_review(candidate)
system_design_pairing(candidate)
Gold

Client-ready

Only candidates who pass are placed in front of you, with a technical brief on strengths, gaps and fit for your stack.

publish_to_client()
What we specialise in

Four stacks. Vetted by people who build them.

01

Data Engineering & Architecture

Pipeline design, lakehouse architecture and the tools that move data at scale.

DatabricksApache SparkDelta LakedbtSnowflake
02

Cloud & DevOps

Infrastructure that stays up, scales cleanly, and ships through automated pipelines.

AWSAzureGCPKubernetesTerraform
03

AI & MLOps

From prototype to production - model serving, retrieval and the ops layer around it.

Gen AILLMOpsRAGVector DBsMLflow
04

Data Platform & Governance

The controls and orchestration that keep a platform trustworthy at scale.

Unity CatalogLakeflowAirflowKafka
Who we work with

Teams that need the right engineer fast, without cutting on depth.

Product companies

Scaling data and AI teams who need engineers that can own a system, not just a ticket.

Consulting firms

Delivery teams that need bench strength for client engagements, vetted before they ever meet the client.

System integrators

Programs that need specialist skills dropped into an existing delivery model, fast.

Open positions

Whether you're looking for your next role, or your next hire.

For candidates

Current requirements from our client engagements. Don't see an exact match? Send us your CV directly - most roles are filled before they're ever posted.

Senior Databricks Data Engineer

Databricks · Spark · Delta Lake Contract Remote
View details → Apply

Cloud & DevOps Engineer

AWS · Terraform · Kubernetes Full-time Remote
View details → Apply

Gen AI / MLOps Engineer

RAG · Vector DBs · MLflow Contract Hybrid
View details → Apply

Data Platform & Governance Engineer

Unity Catalog · Airflow · Kafka Full-time Remote
View details → Apply

For employers

Tell us the role - we'll match you with vetted engineers who can start now.

Skip the back-and-forth. Send us your requirement and we'll come back with vetted candidates.

Hire an engineer
Let's talk

Tell us the role. We'll tell you who's ready for it.

No keyword matching, no padded CVs - just candidates a practitioner has already vetted.

This opens your email client with your details pre-filled, addressed to contact@anp32techsolutions.com.