Loop Recruitment
Data Engineer

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Data Engineer | AI & Data Platform | Tier 1 SAAS
📍 Cheshire (Onsite)
💰 Up to £110K + Equity + Strong Benefits
TECH: AWS | Python | SQL | dbt | Data Warehousing | AI/LLM Context Engineering
We're partnered with a highly respected, engineering-led technology SAAS business building products used by hundreds of thousands of technical professionals globally.
They're growing their data function and adding a Data Engineer to work alongside their Senior Data Engineer, as they invest in AI-ready data systems, context engineering, and decision intelligence across the business.
The Opportunity
A genuinely hands-on Data Engineering role, building and maintaining scalable pipelines and data foundations — not a "keep the lights on" position.
A real focus of the role is contributing to clean, well-structured, contextualised data that supports LLMs, internal AI tooling and agentic workflows — a live, active priority for the team.
You'll work closely with the Senior Data Engineer and wider stakeholders across Finance, People and Technology domains, with room to grow into more ownership over time.
Collaborative environment with genuine input into tooling and delivery decisions.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You'll Be Doing
- Building and maintaining scalable cloud-native data pipelines
- Contributing to data warehousing, governance and semantic structure decisions
- Supporting the build of AI-ready datasets and contextual data models for LLM/agentic consumption
- Working with stakeholders to translate business needs into technical solutions
- Following best practice around testing, CI/CD, observability and data quality
- Partnering with analysts and engineers across multiple business domains
What They're Looking For
- Solid experience as a Data Engineer in a modern cloud environment
- Strong SQL and Python skills
- Experience building data pipelines on AWS
- Good understanding of data warehousing and data modelling fundamentals
- Comfortable communicating with non-technical stakeholders
- Some hands-on exposure to AI/LLM context construction, structured data for agentic systems, or context engineering is a strong plus — genuine depth here goes a long way, even at this level
- Ideally experience within a product-led or SaaS technology business


Get help with your application
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Why Join?
- Join a growing data function early, working directly alongside a Senior Data Engineer
- Engineering-led culture with strong technical standards
- Real, active investment into AI and data maturity
- Genuine opportunity to build skills in AI context engineering
- Collaborative onsite environment with highly engaged technical teams
If you're a Data Engineer excited by AI context systems and want to build your skills in a genuinely engineering-led environment — happy to chat.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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