Arrows
Junior Data Engineer (Founding Team)
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Junior Data Engineer (Founding Team)
Our client is a private, entrepreneurial, family-owned real estate platform with a multi-billion-pound property portfolio and private credit book. They're building their first proper tech function from scratch, and this is a founding-team seat working directly alongside their senior engineer.
This isn't a narrow graduate scheme. You'll play a key role writing production code and solving live business problems from day one, with the opportunity to learn directly from a senior engineer as the internal data platform gets built.
What you'd be building
- A Python codebase and database responsible for ingesting, cleaning, validating and reconciling data from internal and third-party sources.
- REST APIs forming the bedrock of an internal platform.
- Validation rules and trusted datasets for asset management, working through inconsistencies in existing internal data.
- Dependable workflows replacing manual collection, checking, reconciliation, reminders, document generation and reporting.
- Dashboards, reports, alerts and small internal tools for investment, asset-management, finance and operations teams.
- Document extraction, retrieval and LLM-based workflows, with testing, evals and human-in-the-loop review.
Reasons to use Rodeo
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.
It 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.
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.
How you'd work
- Writing clean, tested, high-quality code, using version control, monitoring jobs and investigating failures as they happen.
- With the patience to trace messy data through unfamiliar systems, find root causes and verify your fixes actually work.
- Asking good questions, documenting decisions, and explaining technical issues clearly to colleagues who don't write code.
- Taking on increasing responsibility as your capability grows, with guidance from a senior engineer close by.
What they need
- A rigorous degree in Computer Science, Data Science, Engineering, Mathematics or a closely related discipline.
- Strong programming fundamentals in Python, TypeScript and SQL, demonstrated through useful software, research, internships, open-source work or a strong personal portfolio.
- An understanding of relational databases, data modelling, APIs and ETL/ELT pipelines, with real enthusiasm to go deeper.
- Care for readable code, testing, debugging and the difference between a promising prototype and a reliable production system.
- A commercially minded, entrepreneurial approach, with the professionalism and maturity to take on real responsibility early.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to have
- Internship, placement, research or project experience involving data pipelines, backend engineering, analytics engineering or automation.
- Familiarity with a cloud platform, Docker, data warehouses, BI tools or simple internal web applications.
- Practical exposure to LLM APIs, retrieval, evaluation, OCR or document-processing workflows.
- Evidence you go beyond the syllabus a tool, service, open-source contribution, article or project used by someone other than you.
For more information: Max.Benmayor@Arrowsgroup.com
“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
Skills
Location