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For Companies At a Glance
- Tasks: Design AI workflows, integrate systems, and enhance community projects through data engineering.
- Company: Join Crowdfunder, the UK's leading crowdfunding platform for community causes.
- Benefits: Enjoy 35 days of leave, mental health support, and a personal wellbeing allowance.
- Why this job: Make a real impact by helping communities turn their ideas into reality.
- Qualifications: Experience in data engineering, AI tools, and strong Python skills required.
- Other info: Flexible working options and opportunities for professional development await you.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Crowdfunder
At Crowdfunder, we’re on a mission to tackle society’s biggest challenges by making ideas happen. We believe that the most transformative ideas often come from within the community. As the UK’s leading crowdfunding platform for community causes, we’ve helped raise over £450 million for 100,000+ projects, supporting a community of 3.5+ million people united for good. We’re not just about raising funds—we’re about nurturing grassroots innovation to create meaningful societal change.
The Role & About You
We’re looking for a talented junior to mid‑level Data, Integrations and AI Engineer to work alongside our Director of Data and AI. This is a crucial role that sits at the intersection of data engineering, AI implementation, and systems integration. You’ll be instrumental in bringing our ambitious 2026 AI and Data strategies to life, helping us scale operations and deliver better outcomes for the thousands of community projects we support. This isn’t just a technical role, it’s an opportunity to directly impact thousands of lives. Every workflow you automate, every AI tool you build, and every integration you create helps community organisations, charities and social enterprises bring their ideas to life. You’ll see the tangible results of your work in the projects that get funded and the communities that benefit. Join us during an exciting transformation as we integrate AI across our operations. You’ll be working with cutting‑edge technologies, experimenting with the latest LLM capabilities, and helping define how AI can enhance community crowdfunding. Your ideas and contributions will shape our AI strategy.
Key Responsibilities
- Design and build AI‑powered workflows that automate repetitive tasks and scale our operations
- Integrate large language models and AI capabilities into existing systems and processes
- Create intelligent tools that enhance team productivity and improve customer experience
- Explore and implement emerging AI technologies to solve business challenges
Data Infrastructure & Integration
- Build and maintain APIs that enable seamless data flow between systems
- Design data pipelines and integration patterns for internal and external use
- Improve data accessibility, quality and usability across the organisation
- Connect disparate systems and create unified data experiences for teams
Product Enhancement & Engineering Collaboration
- Work with Platform Engineering teams to develop AI‑powered features and tools for users
- Support the creation of intelligent matching, recommendation and scoring systems
- Rapidly prototype solutions, gather feedback and help transform concepts into production‑ready systems
- Contribute to best practices for testing, deployment and monitoring of AI systems
Essentials
- Data engineering fundamentals: Experience with SQL, data warehousing, ETL/ELT processes and working with large datasets. Must have hands‑on experience with Google BigQuery, Dataform and Cloud Run
- API development & integration: Hands‑on experience building and consuming RESTful APIs, handling authentication and managing integrations
- LLM/AI experience: Practical experience working with large language models (OpenAI, Anthropic or similar), prompt engineering and AI‑powered applications
- Python proficiency: Strong Python skills for data processing, automation and building production systems
- Builder mindset: A passion for creating practical solutions, shipping code and iterating based on feedback
- Self‑directed learning: Comfortable navigating ambiguity, learning new technologies and solving problems independently
- Communication skills: Able to explain technical concepts to non‑technical stakeholders and collaborate across teams
Nice to Have
- Experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch)
- Familiarity with modern data stack tools (dbt, Fivetran, Redash etc.)
- Experience with cloud platforms (AWS, GCP, Azure)
- Knowledge of web analytics and marketing data (Google Analytics, PPC tracking)
- Understanding of payment systems and financial data
- Previous experience in nonprofit, social impact or mission‑driven organisations
- Contributions to open‑source projects or a portfolio of personal projects
In return
- Meaningful work: Be part of something bigger – help communities across the UK (and now the US) bring their ideas to life
- Professional development: Monthly AI Dojos, access to learning resources and opportunities to build expertise in cutting‑edge technologies
- Salary: Up to ÂŁ50,000 per annum
- Hours: Full time
- Flexible location: We have offices in Newquay and Bridport and offer hybrid working from either office. Fully remote with occasional travel to meet the team in the South West will also be considered.
Our perks and benefits
- 35 days of annual leave including bank holidays (prorated for part‑time)
- An extra paid day off on your birthday
- Enhanced paid leave for all those important moments in life (e.g. parental leave, fertility leave)
- A generous pension scheme (we’ll top up anything you contribute above the standard amount by 10%)
- Mental health support through our Employee Assistance Programme
- A personal wellbeing allowance of ÂŁ75 each year
- A cycle to work scheme
- Learning and development opportunities, like courses, workshops, lunch and learns and external speakers
- Opportunities to volunteer with amazing projects that are fundraising on our platform
Our application and interview process
- Application: We encourage you to put a little thought into your application as this is how we’ll start to assess whether we’re the right fit for each other. Your answers to our questions are as important as your CV.
- Screening call stage: This will be a 20–30 minute video call with our People & Places Lead to get to know you and what you’re looking for in your next role.
- Second round interview stage: This will be a one‑hour interview with one of our hiring team.
- Values and behaviours interview: The final stage is a one‑hour conversation with sometimes more than one of our team, where the focus will be who you are as a team member.
Reasonable adjustments: If you need any support or adjustments during the interview process, please let us know in your application.
Inclusion and diversity: Crowdfunder is tackling society’s challenges by making ideas happen. We connect projects that matter to people and companies who care. We’re here to support diverse communities and to provide a platform for those who want to be heard; amplifying voices and impact is what we do.
Data, Integrations and AI Engineer employer: Crowdfunder Limited
Contact Detail:
Crowdfunder Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data, Integrations and AI Engineer
✨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 projects, especially those related to data engineering and AI. This is your chance to demonstrate what you can do beyond just a CV—let your work speak for itself!
✨Tip Number 3
Prepare for interviews by researching Crowdfunder’s mission and values. Think about how your skills can contribute to their goals. Tailor your responses to show that you’re not just a fit for the role, but also for the company culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Crowdfunder community. Let’s make those ideas happen together!
We think you need these skills to ace Data, Integrations and AI Engineer
Some tips for your application 🫡
Show Your Personality: When filling out your application, let your personality shine through! We want to see who you are beyond your CV, so don’t be afraid to inject a bit of your character into your answers.
Tailor Your Responses: Make sure to tailor your responses to the role of Data, Integrations and AI Engineer. Highlight your relevant skills and experiences that align with our mission at Crowdfunder, especially in data engineering and AI.
Be Clear and Concise: Keep your answers clear and to the point. We appreciate well-structured responses that get straight to the heart of the matter. This helps us understand your thought process and how you communicate.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Crowdfunder Limited
✨Know Your Tech
Make sure you brush up on your data engineering fundamentals, especially SQL and Google BigQuery. Be ready to discuss your hands-on experience with APIs and how you've integrated systems in the past. This role is all about tech, so showing your knowledge will definitely impress!
✨Showcase Your AI Experience
Since this position involves working with large language models and AI tools, be prepared to share specific examples of projects where you've implemented AI solutions. Talk about your approach to prompt engineering and any challenges you faced while building AI-powered applications.
✨Communicate Clearly
You’ll need to explain complex technical concepts to non-technical stakeholders, so practice simplifying your explanations. Think of ways to relate your technical skills to the impact they have on community projects. This will show that you understand the bigger picture and can collaborate effectively.
✨Emphasise Your Builder Mindset
Crowdfunder values a builder mindset, so come prepared with examples of how you've created practical solutions in previous roles. Discuss your iterative process for shipping code and how you gather feedback to improve your work. This will highlight your proactive approach and passion for innovation.
