At a Glance
- Tasks: Design and implement a payroll calculation engine using Python and Node.js/TypeScript.
- Company: Ebury, a leading fintech company in Greater London.
- Benefits: Innovative work environment with opportunities for significant impact.
- Other info: Flexible locations in London, Madrid, or Malaga with great career growth potential.
- Why this job: Join a dynamic team and shape the future of payroll technology.
- Qualifications: Expertise in Python, Node.js/TypeScript, and PostgreSQL required.
The predicted salary is between 60000 - 80000 € per year.
Ebury in Greater London is looking for a skilled backend developer to design and implement a comprehensive payroll calculation engine. The role requires deep expertise in Python and Node.js/TypeScript, alongside PostgreSQL mastery. You'll be responsible for developing data ingestion pipelines and ensuring robust integrations within the HR/Fintech ecosystem.
The preferred location is London, with opportunities available in Madrid or Malaga, offering an innovative work environment with potential for significant impact.
Senior Payroll Data Engineer: Bitemporal Engine & DAG employer: Ebury
Ebury is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer ample opportunities for professional development and collaboration within a cutting-edge HR/Fintech environment. Join us to make a meaningful impact while enjoying the benefits of a supportive team and a vibrant city lifestyle.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Payroll Data Engineer: Bitemporal Engine & DAG
✨Tip Number 1
Network like a pro! Reach out to folks in the HR/Fintech space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Node.js, and PostgreSQL. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Payroll Data Engineer: Bitemporal Engine & DAG
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Python, Node.js/TypeScript, and PostgreSQL. We want to see how your skills align with the role, so don’t hold back on showcasing your experience!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Senior Payroll Data Engineer position. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Ebury
✨Know Your Tech Stack
Make sure you brush up on your Python and Node.js/TypeScript skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to payroll systems or data pipelines.
✨Understand Bitemporal Data
Since the role involves a bitemporal engine, it’s crucial to understand how bitemporal data works. Prepare to explain how you would implement this in a payroll calculation engine and be ready to tackle any technical questions around it.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss challenges you've faced in previous roles, particularly around data ingestion and integration within HR/Fintech ecosystems. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or how they measure success in the payroll engine development process.
