At a Glance
- Tasks: Architect and build an innovative AI-native global payroll engine.
- Company: Join Jack & Jill, backed by Santander's £550M funding.
- Benefits: Competitive salary, flexible working, and opportunities for growth.
- Other info: Dynamic role with substantial responsibility and career advancement.
- Why this job: Make a leading impact in the future of payroll technology.
- Qualifications: Strong technical skills in Python and Node.js required.
The predicted salary is between 60000 - 80000 £ per year.
Jack & Jill is seeking a Staff Engineer — Backend (Payroll & Data) to architect and build an innovative AI-native global payroll engine. You will design complex data pipelines and connect automated payroll logic to multi-currency payment rails. This role involves substantial responsibility with the chance to make a leading impact, supported by Santander's recent £550M funding. A strong technical background in Python and Node.js is essential.
Staff Engineer — AI Payroll & Data Platform in London employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge AI technology in a supportive environment backed by substantial funding. Located in a vibrant area, our team enjoys a flexible work-life balance and the unique advantage of contributing to a transformative payroll solution on a global scale.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Engineer — AI Payroll & Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Jack & Jill or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and Node.js. This is your chance to demonstrate your expertise in building data pipelines and payroll systems.
✨Tip Number 3
Prepare for the interview by brushing up on AI and payroll concepts. Be ready to discuss how you can contribute to an innovative AI-native global payroll engine. We want to see your passion!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Staff Engineer — AI Payroll & Data Platform in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical expertise in Python and Node.js. We want to see how your skills align with the role of architecting and building our AI-native global payroll engine.
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect how your experience connects with the responsibilities of designing complex data pipelines and automated payroll logic.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Node.js skills. Be ready to discuss your past projects and how you've used these technologies to solve complex problems, especially in relation to data pipelines and payroll systems.
✨Understand the Business Context
Familiarise yourself with Jack & Jill's mission and how their AI-native global payroll engine fits into the bigger picture. This will help you demonstrate your interest in the role and how you can contribute to their goals.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice coding problems related to data processing and automation, as well as system design questions that reflect the responsibilities of the role.
✨Showcase Your Impact
Be ready to share examples of how your work has made a difference in previous roles. Highlight any innovative solutions you've implemented, particularly those that improved efficiency or enhanced user experience in payroll systems.
