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- Tasks: Design and build resilient data pipelines while ensuring data quality.
- Company: A forward-thinking financial institution with a focus on innovation.
- Benefits: Flexible working arrangements, competitive salary, and a collaborative team environment.
- Why this job: Join a diverse team and make an impact in a dynamic, data-driven role.
- Qualifications: Extensive experience in Python and SQL, with a passion for data inquiries.
- Other info: Hybrid role with 2-3 days in the London office, offering excellent career growth.
The predicted salary is between 43200 - 72000 £ per year.
A forward-thinking financial institution is seeking a Senior Data Engineer to join their Data Engineering team. You will design and build resilient data pipelines and solutions, collaborate with various teams, and ensure data quality.
The ideal candidate has extensive experience in Python and SQL, enjoys data-driven inquiries, and thrives in a dynamic environment. This hybrid role requires working in the London office 2-3 days a week and allows for flexible working arrangements.
You will be part of a diverse team that values inclusion and collaboration.
Senior Data Engineer — Hybrid Data Pipelines Pro employer: Zopa Bank
Contact Detail:
Zopa Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Hybrid Data Pipelines Pro
✨Tip Number 1
Network like a pro! Reach out to current employees at the financial institution on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python and SQL projects. This will help us demonstrate your expertise in building resilient data pipelines.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on data engineering concepts and common SQL queries. We want you to feel confident when discussing your experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer — Hybrid Data Pipelines Pro
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, as these are key skills for the Senior Data Engineer role. We want to see how your past projects align with the job description, so don’t hold back on showcasing your data pipeline expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our dynamic team. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled data quality issues or built resilient data solutions. We’re looking for someone who thrives in a fast-paced environment, so share those experiences that demonstrate your adaptability and creativity!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Zopa Bank
✨Know Your Data Pipelines
Make sure you can discuss your experience with designing and building data pipelines in detail. Be ready to explain the tools and technologies you've used, especially in Python and SQL, as these are crucial for the role.
✨Show Your Collaborative Spirit
Since this role involves working with various teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to data quality or problem-solving.
✨Embrace the Dynamic Environment
This financial institution values adaptability. Be prepared to share instances where you've thrived in a fast-paced setting. Discuss how you handle changing requirements and maintain data integrity under pressure.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in their data strategy and team dynamics. Inquire about their current challenges with data pipelines or how they ensure inclusion within the team.
