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 creative startup vibe with the stability of a corporate leader.
- Other info: Work in a tech-forward environment with opportunities for career growth.
- 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.
Company Description: Santander-backed global payments fintech with a recent £550M funding round.
Job Description: You will architect and build a greenfield, AI-native global payroll engine from the ground up. This role involves designing complex data pipelines that normalize HRIS data into a proprietary calculation engine. You will bridge 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, normalize, and transpose data from various HRIS and HCM integrations into a centralized 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and payroll space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you've built any cool projects or have relevant experience, create a portfolio or GitHub repo. This is your chance to demonstrate your technical mastery in Python or Node.js.
✨Tip Number 3
Prepare for those interviews! Research common questions for staff engineers, especially around payroll engines and data pipelines. Practising your answers will help you feel more confident when it’s showtime.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly shows your enthusiasm for the role and the company.
We think you need these skills to ace Staff Engineer (Payroll & Data) at Santander-backed global payments fintech
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Staff Engineer. Highlight your experience with payroll engines and data pipelines, and don’t forget to mention any relevant tech stacks like Python or Node.js.
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. Be specific about what excites you about this role and our company.
Showcase Your Projects:If you've worked on similar projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they relate to payroll systems or complex data transformations.
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 keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python, Node.js, and TypeScript. Be ready to discuss your experience with these languages and how you've used them in past projects, particularly in building data pipelines or payroll systems.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to payroll processing and data normalisation. Think about how you would approach designing a calculation engine or orchestrating workflows, and be ready to explain your thought process clearly.
✨Highlight Relevant Experience
If you've worked at tech-first companies like Deel or Papaya Global, make sure to bring that up! Discuss specific projects where you built payroll engines or payment systems, focusing on the impact of your work and any challenges you overcame.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for their AI-native payroll product and how they plan to integrate it with existing payment rails. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
