At a Glance
- Tasks: Design and implement a payroll calculation engine using Python and Node.js/TypeScript.
- Company: Ebury, a leading player in the HR/Fintech ecosystem.
- Benefits: Competitive salary, innovative work environment, and opportunities for growth.
- Other info: Flexible locations in London, Madrid, or Malaga with excellent career advancement potential.
- Why this job: Make a significant impact in a dynamic team while mastering cutting-edge technologies.
- 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 in London 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 in London
✨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 put in a good word for you.
✨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 and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding payroll systems. Practice common algorithms and data structures, and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Payroll Data Engineer: Bitemporal Engine & DAG in London
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 of a Senior Payroll Data Engineer, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experience 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 shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role as quickly as possible!
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. Be ready to discuss specific projects where you've used these technologies, especially in relation to payroll systems or data pipelines. This will show that you not only understand the tools but can also apply them effectively.
✨Understand Bitemporal Data
Since the role involves a bitemporal engine, it’s crucial to grasp the concept of bitemporal data management. Prepare to explain how you would handle historical data and time-based queries, as this will demonstrate your depth of knowledge in the field.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios related to payroll calculations or data ingestion challenges. Think through your approach to problem-solving and be prepared to articulate your thought process clearly. This will highlight your analytical skills and ability to think on your feet.
✨Cultural Fit and Impact
Ebury values innovation and impact, so be sure to convey your enthusiasm for contributing to their mission. Research their company culture and think about how your values align with theirs. Share examples of how you've made a significant impact in previous roles to illustrate your potential contribution.
