Specialism 02
Data engineering and analytics recruitment.
Data is only valuable if it is accessible and clean. RecT finds the data engineers, analytics engineers and data scientists who turn raw data into decisions.
The roles we fill
Who we find for you.
Data is only valuable if it is accessible and clean. We provide the architects who build the pipelines and the scientists who extract the signal from the noise, ensuring your data is actionable, compliant and predictive.
Data Engineer
Builds the pipelines and platforms that move and store data reliably.
Analytics Engineer
Models and transforms data so teams can trust what they report.
Data Scientist
Uses statistics and machine learning to answer questions and predict outcomes.
Lead Data Architect
Designs the data platform, standards and governance for the whole organisation.
BI Developer
Builds the dashboards and reporting people use to make decisions.
Quant Researcher
Builds quantitative models for pricing, risk and trading.
Big Data Specialist
Works with distributed systems that process data at very large scale.
How we assess
Clean pipelines and sound statistics.
Every candidate is technically screened and spoken to before you meet them.
Pipelines that stay accurate
We test how candidates design pipelines that stay reliable and maintainable, not just the tools listed on their CV.
Real statistical understanding
For data science roles, we check candidates truly understand the statistics behind their work, not just the keywords.
Questions built around your data
Every interview scorecard is written for your data stack and the decisions your data needs to support.
Open roles
Open data roles.
“Rather than ticking boxes based on keywords, they invested the time to really understand what these statistical terms mean. Genuinely rare in this industry.”
How we can help
Three ways to hire data talent.
Build a team, land one hard-to-find specialist, or bring in a contractor fast. We match the approach to what you need right now.
For high growth startups
Growth Engine
Scale as a Service. A continuous hiring architecture for companies building their team at speed without losing quality. You closed a round. Now build the team that earns the next one.
For niche and specialist roles
Precision Mandate
Strategic headhunting for the ungettable hire. The Principal AI Researcher, the Rust Expert, the Head of Product. We map every viable candidate in the ecosystem.
For mission critical sprints
Tactical Deployment
Immediate contract solutions. When a project is stalling and permanent hiring cannot move fast enough. First candidates within 48 hours of a brief.
FAQs
Hiring data talent: your questions.
Straight answers to what we are asked most. Anything else, just ask.
Which data roles do you recruit for?
Data engineers, analytics engineers, data scientists, data architects, BI developers, quant researchers and big data specialists.
What is the difference between a data engineer, an analytics engineer and a data scientist?
A data engineer builds the pipelines and platforms that move data. An analytics engineer models that data so the business can trust its reporting. A data scientist uses statistics and machine learning to answer questions and make predictions.
How do you assess data candidates?
We test how they design reliable pipelines and how well they understand the statistics behind their work, with questions built around your data stack.
How long does it take to hire a data engineer?
You meet a vetted shortlist in days, and our average time to hire is 21 days. For rare profiles, our Precision Mandate maps every viable candidate in the market.
Hiring data talent?
Tell us who you need.
Book a call or send a brief, and we respond within one business day.
Talk to Tino, Sophia or Anna. We respond within one business day.