At a Glance
- Tasks: Design and maintain our data warehouse, enabling data-driven decisions and AI initiatives.
- Company: Join RedCloud, a pioneering tech company transforming global supply chains with innovative solutions.
- Benefits: Enjoy 25 days annual leave, enhanced pension, private healthcare, and stock options.
- Other info: Be part of a dynamic team with opportunities for mentorship and career growth.
- Why this job: Make a real impact on global trade while working with cutting-edge technology and diverse teams.
- Qualifications: Experience in SQL, Python, and data warehousing architecture is essential.
The predicted salary is between 80000 - 100000 € 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
- Design and own the architecture and data flow into the data warehouse
- Collaborate with product managers, engineers, and stakeholders
- Ensure the platform is performing, scalable, secure, and readable and easy to use
- Support business-wide data needs and use cases
- Design, build, and maintain ELT pipelines
- Integrate data from internal systems and external partners
- Ensure data quality and accuracy, performance and scalability, and secure data handling
- Deliver reliable, up-to-date datasets
- Develop datasets and data products for internal and external customers
- Ensure solutions meet or exceed requirements, are well documented and understandable, and validated for accuracy and performance
- Enable data as a product capabilities
- Conduct code and design reviews
- Ensure adherence to best practices in scalability, readability, and security
- Provide constructive, actionable feedback
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
Benefits
- 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 providing access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness
- Stock / equity
Principal Data Engineer/Data Architect in London employer: RedCloud
RedCloud is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide extensive mentorship opportunities and a culture that values knowledge sharing, ensuring that our team members thrive both personally and professionally. Our competitive benefits package, including enhanced pension contributions and private healthcare, alongside the chance to work on cutting-edge AI initiatives, makes RedCloud a truly rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer/Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We all know that confidence is key, so the more you rehearse, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Data Engineer/Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Principal Data Engineer role. Highlight your experience with SQL, data warehousing, and ELT pipelines. We want to see how your skills align with our needs at RedCloud!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission of fixing the global supply chain. Let us know why you're excited about joining RedCloud!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in data architecture and AI initiatives. We love seeing real-world applications of your skills.
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 keen on being part of our team!
How to prepare for a job interview at RedCloud
✨Know Your Data Inside Out
As a Principal Data Engineer, you’ll need to demonstrate your expertise in SQL, database design, and data warehousing. Brush up on your knowledge of Snowflake, PostgreSQL, and MySQL, and be ready to discuss how you've designed and maintained ELT pipelines in previous roles.
✨Showcase Your Collaboration Skills
This role involves working closely with product managers, engineers, and stakeholders. Prepare examples of how you've successfully collaborated in cross-functional teams, highlighting your ability to communicate complex data concepts in an understandable way.
✨Prepare for Technical Challenges
Expect technical questions or even a coding challenge during the interview. Practice designing data flows and solving problems related to data quality and performance. Being able to think on your feet will impress your interviewers.
✨Emphasise Mentorship and Knowledge Sharing
RedCloud values mentorship and team development. Be ready to discuss your experience mentoring others, conducting code reviews, and how you’ve contributed to a culture of knowledge sharing. This shows that you’re not just a technical expert but also a team player.
