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- Tasks: Design and develop data engineering solutions for our new ecosystem.
- Company: Join a forward-thinking company focused on data and analytics.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Why this job: Be part of an exciting migration project and make a real impact.
- Qualifications: Experience in data engineering and a passion for problem-solving.
- Other info: 12-month fixed term contract with potential for growth.
The predicted salary is between 36000 - 60000 £ per year.
About the role
Working in our Data and Analytics Delivery department, the Data Engineer will join the group on a 12-month fixed term contract to focus on the migration and integration of data into our new ecosystem. The Data Engineer will be designing, developing and testing quality data engineering solutions and will look to challenge and improve our processes, tools and approach.
The person in post will undertake review and assurance activity, providing other team members with guidance on design, build and test activity. Adhering to standard driven code development, the Data Engineer will deliver solutions that meet business needs in a timely manner and will take responsibility for the testing of their solution, including the analysis of requirement, designs of test cases.
Data Engineer - AWS employer: Coventry Building Society
Contact Detail:
Coventry Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - AWS
✨Tip Number 1
Network like a pro! Reach out to current employees in the Data and Analytics Delivery department on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your data engineering prowess, especially with AWS. This can be a great conversation starter during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. We can even do mock interviews together to boost your confidence before the big day.
✨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 engage directly with us.
We think you need these skills to ace Data Engineer - AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS and data migration, and don’t forget to showcase any relevant projects that demonstrate your skills in designing and developing data solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at StudySmarter. Be sure to mention specific tools and processes you’ve worked with that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've challenged and improved processes in previous roles. We love seeing candidates who can think critically and come up with innovative solutions, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Coventry Building Society
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around AWS services. Be ready to discuss how you've used tools like Redshift, S3, or Glue in past projects. This will show that you understand the technical requirements of the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data migration and integration. Think about a time when you improved a process or tool – this is your chance to shine and demonstrate your ability to enhance workflows.
✨Understand the Business Needs
Familiarise yourself with the company’s business model and how data engineering supports it. Be ready to explain how your solutions can meet their needs and contribute to their goals. This shows that you're not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges. This not only shows your interest in the role but also gives you insight into how you can add value. Plus, it helps you gauge if the company culture aligns with your values.
