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For Companies At a Glance
- Tasks: Create and maintain data pipelines while collaborating with a dynamic data engineering team.
- Company: Leading financial services company in Greater London with a focus on innovation.
- Benefits: Competitive work-life balance, development opportunities, and a hybrid work model.
- Why this job: Join a passionate team and make an impact by delivering high-quality data products.
- Qualifications: Experience with Python and SQL, plus a drive for excellence in data solutions.
- Other info: Exciting opportunity for growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services company in Greater London is looking for a Data Engineer to create and maintain data pipelines and solutions. The ideal candidate should have experience with Python and SQL and a passion for delivering high-quality data products. This hybrid role involves collaborating with the data engineering team and requires on-site work in London. You will contribute to improving processes and support product development with analytics. Competitive work-life balance and development opportunities are available.
Data Engineer — Pipelines & Data Warehouse (Hybrid) employer: Zopa Bank
Contact Detail:
Zopa Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — Pipelines & Data Warehouse (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python and SQL projects. This is a great way to demonstrate your expertise in data pipelines and solutions.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data engineering concepts. We recommend doing mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Engineer — Pipelines & Data Warehouse (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can improve processes and support product development, so let us know how you’ve done this before!
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 from our team!
How to prepare for a job interview at Zopa Bank
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Show Your Passion for Data
Express your enthusiasm for delivering high-quality data products. Share examples of how you've improved processes in previous roles or how you've contributed to product development with analytics. This will show that you're not just skilled, but also genuinely interested in the field.
✨Prepare for Collaboration Questions
Since this role involves working closely with a team, be prepared to answer questions about collaboration. Think of instances where you've successfully worked with others to achieve a common goal, especially in a hybrid work environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the tools they use, or how they measure success in their data projects. This shows that you're engaged and serious about the role.
