Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build data infrastructure for KYC and Onboarding, designing analytics pipelines.
- Company: Global financial technology company based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real difference in preventing financial crime while working with cutting-edge technology.
- Qualifications: Proficient in SQL and Python, with experience in orchestration tools like Airflow.
- Other info: Collaborative environment with a focus on innovation and compliance.
The predicted salary is between 43200 - 72000 £ per year.
A global financial technology company in Greater London is seeking a Data Engineer to build the data infrastructure for KYC and Onboarding. You will design analytics pipelines and frameworks to enhance regulatory compliance, directly impacting the prevention of financial crime.
The ideal candidate is proficient in SQL and Python, has experience with orchestration tools like Airflow, and enjoys collaborating with cross-functional teams.
Global KYC & Onboarding Data Engineer employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global KYC & Onboarding Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech space, especially those working in KYC and onboarding. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially any analytics pipelines you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of regulatory compliance and financial crime prevention. We want you to be ready to discuss how your work can directly impact these areas during your chats with hiring managers.
✨Tip Number 4
Don't forget to 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 about their job search!
We think you need these skills to ace Global KYC & Onboarding Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and orchestration tools like Airflow. We want to see how your skills align with the role of a Data Engineer in KYC and Onboarding.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building data infrastructure for regulatory compliance. Share specific examples of how you've contributed to similar projects in the past.
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, mention any relevant experiences where you successfully collaborated with others. We love to see teamwork in action!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role as soon as possible!
How to prepare for a job interview at Wise
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, and think about how you can apply them to build data infrastructure for KYC and Onboarding.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially those related to regulatory compliance or financial crime prevention. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical thinking.
✨Familiarise Yourself with Orchestration Tools
Since experience with orchestration tools like Airflow is key, make sure you can explain how you've used such tools in past projects. If you haven't worked with Airflow specifically, be ready to discuss similar tools and how they can enhance data workflows.
✨Emphasise Team Collaboration
This role involves working with cross-functional teams, so be prepared to share examples of how you've successfully collaborated with others. Highlight your communication skills and any experiences where teamwork led to successful project outcomes.