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For Companies At a Glance
- Tasks: Design and maintain data architecture for a cutting-edge digital trading platform.
- Company: Join RedCloud, a pioneering tech company transforming global supply chains.
- Benefits: Enjoy 25 days annual leave, enhanced pension, healthcare, and stock options.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact on data-driven decisions in a fast-growing international company.
- Qualifications: Experience in SQL, Python, and data warehousing architecture.
The predicted salary is between 60000 - 80000 ÂŁ per year.
About RedCloud
The global supply chain is broken—creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board. RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions for our customers, from factory to warehouse to store. Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America, we’re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.
Role Summary
A Principal Data Engineer is responsible for designing, building, and maintaining the company’s data warehouse, ensuring data is accessible, performant, and easy to use across the business. This role sits at the core of enabling data‑driven decision‑making and AI initiatives. You will work within a cross‑functional squad alongside data scientists and AI engineers, contributing to the full lifecycle of how data is ingested, transformed, and consumed.
Key Responsibilities
- Data Warehouse Architecture & Ownership
- Design and own the architecture and data flow into the data warehouse
- Collaborate with product managers, engineers, and stakeholders
- Ensure the platform is:
- Performant
- Scalable
- Secure
- Readable and easy to use
- Data quality and accuracy
- Performance and scalability
- Secure data handling
- Deliver reliable, up‑to‑date datasets
- Meet or exceed requirements
- Are well‑documented and understandable
- Are validated for accuracy and performance
- Scalability
- Readability
- Security
Technical Skills
- SQL & Database Design (Snowflake, PostgreSQL, MySQL)
- Python
- Data Warehousing Architecture
- ELT/ETL Pipelines
- Data Modelling
What We Like To See
- Mentor engineers at all levels
- Support onboarding and development of new team members
- Conduct knowledge sharing and pair programming
- Business value delivered through data
- Incident response and resolution time
- Stability and uptime of data systems
- Mentorship effectiveness
- Participation in reviews, planning, and collaboration
- Enable data‑driven decision‑making across the company
- Power AI and analytics initiatives
- Improve customer value through data products
- Support revenue growth via data insights
Even if you don’t meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we’re looking for.
Benefits
Working with a pioneering provider of eCommerce solutions you will have the opportunity to join an international company who are growing massively, we encourage ambition and creativity. Plus, You Will Get:
- 25 Days Annual leave, increasing to 26 days after 12 months in the business
- Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
- Healthcare Cashplan with Medicash
- Private Healthcare with Aviva
- Life Insurance with AIG
- Happl, our benefit platform which provides access to pre‑negotiated discounts on a wide variety of services including entertainment, food, and fitness.
- Stock / Equity
Data Architect employer: RedCloud
Contact Detail:
RedCloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, whether it's a personal project or something from your previous job. This gives you a chance to demonstrate your expertise and creativity to potential employers.
✨Tip Number 3
Prepare for interviews by researching RedCloud and understanding their mission. Be ready to discuss how your experience aligns with their goals, especially around data-driven decision-making and AI initiatives. Tailor your answers to show you're the perfect fit!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight relevant experience and skills that match the job description, especially around data warehousing and ELT pipelines. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how you can contribute to RedCloud's mission. We love seeing enthusiasm and a clear understanding of our goals.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in SQL, Python, and data modelling. We’re keen on seeing how you’ve applied these in past projects. Be specific about your contributions and the impact they had!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at RedCloud
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in data warehousing concepts and the specific technologies mentioned in the job description, like SQL and ELT pipelines. Brush up on your experience with Snowflake or PostgreSQL, as being able to discuss these confidently will show that you're a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles related to data architecture. Think of examples where you designed scalable solutions or improved data quality. This will demonstrate your ability to tackle real-world problems and contribute to RedCloud's mission of enhancing supply chain efficiency.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with product managers, engineers, and data scientists. Highlight any successful projects where teamwork was key, as this will show that you can thrive in a collaborative environment.
✨Ask Insightful Questions
Prepare thoughtful questions about RedCloud’s data initiatives and how they leverage AI and machine learning. This not only shows your genuine interest in the company but also gives you a chance to assess if their goals align with your career aspirations. Plus, it demonstrates your proactive approach to understanding the business.