At a Glance
- Tasks: Architect and build an AI-native global payroll engine from scratch.
- Company: Join a Santander-backed fintech with a fresh £550M funding round.
- Benefits: Enjoy a tech-forward environment with creative freedom and stability.
- Other info: Dynamic role with opportunities to lead and innovate in a modern tech stack.
- Why this job: Make a founding-level impact on a revolutionary payroll product.
- Qualifications: Experience in payroll engines or payment systems, proficient in Python or Node.js.
The predicted salary is between 80000 - 100000 £ per year.
A Santander-backed global payments fintech is seeking a Staff Engineer to architect and build a greenfield, AI-native global payroll engine from the ground up. This role involves designing complex data pipelines that normalise HRIS data into a proprietary calculation engine, bridging the gap between HR tech and fintech by connecting automated payroll logic to existing multi-currency payment rails.
Location: London, UK; Madrid, Spain; or Malaga, Spain
Why this role is remarkable:
- Founding-Level Impact: Build an AI-native payroll product from scratch while leveraging a pre-existing infrastructure that processes 1.9M annual payments across 130+ currencies.
- Massive Backing: Backed by Santander with a fresh £550M raise, providing the stability of a corporate leader with the creative freedom of a greenfield startup environment.
- Tech-Forward Stack: Direct a team of AI coding agents to 10x your output while owning the architecture in a modern Python, Node.js, and TypeScript environment.
What You Will Do:
- Architect Data Pipelines: Build robust systems to pull, normalise, and transpose data from various HRIS and HCM integrations into a centralised payroll calculator.
- Develop Calculation Engines: Design jurisdiction-specific logic to handle complex tax, benefits, and deductions, ensuring high-fidelity output for bank files and compliance reports.
- Orchestrate Workflows: Create end-to-end SaaS workflows from client onboarding and approval routing to the final execution of global payments via existing rails.
The ideal candidate:
- Industry Expertise: Proven experience building payroll engines or payment processing systems at tech-first companies like Deel, Papaya Global, or Remote.
- Technical Mastery: Staff-level proficiency in Python or Node.js with deep experience in data transformation, dbt, and architecting complex SaaS platforms.
- Full-Stack Capability: Strong backend focus but possessing enough frontend knowledge (Angular/TS) to direct junior engineers and ensure seamless product delivery.
Staff Engineer (Payroll & Data) at Santander-backed global payments fintech in London employer: Jack & Jill
As a Santander-backed global payments fintech, we offer an exceptional work environment that combines the stability of a corporate leader with the innovative spirit of a startup. Our London, Madrid, and Malaga locations foster a collaborative culture where employees are empowered to make a significant impact by building cutting-edge AI-native payroll solutions. With substantial funding and a tech-forward approach, we provide ample opportunities for professional growth and development in a dynamic and supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Engineer (Payroll & Data) at Santander-backed global payments fintech in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and payroll space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to payroll engines or data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Node.js skills. Practice coding challenges and system design questions that relate to building complex SaaS platforms. We want you to feel confident and ready to impress!
✨Tip Number 4
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 and take the initiative to connect directly with us.
We think you need these skills to ace Staff Engineer (Payroll & Data) at Santander-backed global payments fintech in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your experience with payroll engines and data pipelines, and don’t forget to mention any relevant tech stacks like Python or Node.js. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for fintech and how your skills can help us build that AI-native payroll engine. Keep it engaging and personal – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them! Whether it's a payroll system or a complex data pipeline, we want to see what you've built. This is your opportunity to demonstrate your technical mastery.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Node.js, and TypeScript. Brush up on your knowledge of data transformation and SaaS architecture, as these will be crucial in the interview. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Industry Experience
Highlight any previous work with payroll engines or payment processing systems. If you've worked at companies like Deel or Papaya Global, share those experiences. This will demonstrate your understanding of the industry and its challenges.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about building data pipelines and calculation engines. Practice explaining complex concepts clearly and concisely, as you may need to articulate your thought process during problem-solving scenarios.
✨Demonstrate Leadership Skills
Since this is a staff-level position, be prepared to discuss how you’ve directed teams or mentored junior engineers. Share examples of how you’ve ensured seamless product delivery and fostered collaboration within your team.
