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- Tasks: Design and develop data engineering solutions using AWS, PySpark, and SQL.
- Company: Leading UK Building Society with a commitment to diversity and innovation.
- Benefits: Flexible working arrangements and competitive benefits package.
- Why this job: Join a dynamic team and enhance your skills in a supportive environment.
- Qualifications: Strong background in AWS, Python, and experience in data development.
- Other info: 12-month contract with opportunities for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK Building Society is seeking a Data Engineer for a 12-month contract in Manchester. This role involves designing and developing data engineering solutions and improving processes within the Data and Analytics Delivery department.
The ideal candidate will have a strong background in AWS and Python, as well as experience in data development within a commercial or Agile environment.
The society values diversity, offers flexible working arrangements, and provides a range of competitive benefits.
AWS Data Engineer — Hybrid (12-month FTC) with PySpark/SQL in Manchester employer: Coventry Building Society
Contact Detail:
Coventry Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer — Hybrid (12-month FTC) with PySpark/SQL in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local 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 AWS and Python projects. This is a great way to demonstrate your expertise and make a lasting impression during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your PySpark and SQL knowledge, and be ready to tackle some coding challenges. Practising common interview questions can really boost your confidence.
✨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 stay updated on new roles as they come up.
We think you need these skills to ace AWS Data Engineer — Hybrid (12-month FTC) with PySpark/SQL in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, PySpark, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or roles you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this Data Engineer role and how your background makes you a perfect fit. Let us know what makes you tick!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data engineering. We love seeing how you approach problems and come up with innovative solutions, especially in Agile environments.
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 us!
How to prepare for a job interview at Coventry Building Society
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss specific services you've used, like S3 or Redshift, and how they relate to data engineering. This will show that you’re not just familiar with AWS but can also apply it in real-world scenarios.
✨Show Off Your PySpark Skills
Prepare to talk about your experience with PySpark. Have examples ready where you've used it to solve data problems or improve processes. If you can share a project where you optimised data processing, that’ll definitely impress them!
✨Emphasise Agile Experience
Since the role mentions an Agile environment, be sure to highlight any relevant experience you have. Discuss how you’ve worked in sprints, collaborated with cross-functional teams, and adapted to changing requirements. This shows you can thrive in their dynamic setting.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or challenges they face in data engineering. This not only shows your interest but also gives you a chance to demonstrate your knowledge and enthusiasm for the role.