Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build data pipelines to support innovative fintech solutions.
- Company: Join a high-growth fintech company making waves in the industry.
- Benefits: Attractive salary, flexible working, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of finance with data.
- Qualifications: Experience in data engineering and a passion for problem-solving.
- Other info: Hybrid work model with a vibrant office culture in London.
The predicted salary is between 80000 - 95000 £ per year.
Overview
Role: Senior Data Engineer (Data Platform)
Salary: £80,000 to £95,000 base salary
Location: London Paddington Hybrid 3 days a week
The Company: WeDo is working with a high growth fintech operating regulated.
Staff Data Engineer in London employer: WeDo
Contact Detail:
WeDo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working at companies you admire. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions. We can help you with mock interviews to boost your confidence and ensure you're ready to tackle any technical challenge thrown your way.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, we love seeing familiar faces from our community!
We think you need these skills to ace Staff Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Data Engineer role. Highlight relevant experience and skills that match the job description. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don't hold back! Include links or descriptions of your work in your application. We want to see your skills in action and how you tackle real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at WeDo
✨Know Your Data Tools
Make sure you’re well-versed in the data tools and technologies mentioned in the job description. Brush up on your knowledge of data pipelines, ETL processes, and any specific programming languages or frameworks they use. Being able to discuss these confidently will show that you're a great fit for the role.
✨Prepare Real-World Examples
Think of specific projects or challenges you've faced in your previous roles that relate to the responsibilities of a Staff Data Engineer. Be ready to explain your thought process, the solutions you implemented, and the outcomes. This will demonstrate your practical experience and problem-solving skills.
✨Understand the Fintech Landscape
Since the company operates in the fintech sector, it’s crucial to have a grasp of current trends and regulations in this field. Familiarise yourself with how data engineering plays a role in compliance and security within fintech. This knowledge can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. Inquire about the team structure, the company’s data strategy, or how they measure success in the role. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.
