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- Tasks: Join our team to design and develop innovative data engineering solutions.
- Company: Coventry Building Society, a trusted ethical bank with a collaborative culture.
- Benefits: 28 days holiday, annual bonus, pension contributions, and life assurance.
- Why this job: Make a real impact in data migration and integration while working with cutting-edge technologies.
- Qualifications: Experience with AWS, Python, SQL, Git, and PySpark is essential.
- Other info: Flexible working options and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
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, preparing test data and creating and executing tests to ensure effective and accurate deliverables.
We operate on a team led hybrid approach with at least 1 day a week in the Coventry or Manchester office.
Our benefits include:
- 28 days holiday a year plus bank holidays and a holiday buy/sell scheme
- Annual discretionary bonus scheme
- Personal pension with matched contributions
- Life assurance (6 times annual salary)
You’ll either have a Data Engineering related qualification and/or extensive Data Development experience in a commercial or Agile environment. To be successful in this role it’s essential that you will:
- Have experience of AWS, Python, SQL, Git and PySpark
Desirable experience needed will be:
- SISS or SAS experience
- Quality Assurance and Test Automation experience
- Experience of Database technologies
- Experience in Financial Services organisation
We understand the need for flexibility, so wherever possible, we’ll consider alternative working patterns. Have a chat with us before you apply to see what the possibilities are for this role.
Proud to be a Disability Confident Committed Employer. We’re proud to offer an interview or assessment to every disabled applicant who meets the minimum criteria for our vacancies.
Data Engineer - AWS in Warrington 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 in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at companies you're eyeing. A friendly chat can sometimes lead to opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AWS, Python, and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling problems, as this will demonstrate your analytical skills and approach to challenges.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at StudySmarter. Let's get you on board!
We think you need these skills to ace Data Engineer - AWS in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS, Python, SQL, and any other relevant skills. We want to see how your background fits with what we're looking for!
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 you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Coventry Building Society
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Python, SQL, Git, and PySpark. Brush up on your knowledge of these technologies before the interview, as you’ll likely be asked to discuss your experience with them. Be ready to provide specific examples of how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in data engineering. Think of a few scenarios where you improved processes or solved complex problems. This will demonstrate your ability to think critically and adapt, which is crucial for the role.
✨Understand Quality Assurance
Since the role involves testing and quality assurance, be prepared to talk about your experience in this area. Familiarise yourself with test automation concepts and be ready to explain how you ensure the quality of your data solutions.
✨Cultural Fit Matters
Research the company’s values and culture. They pride themselves on being a Great Place to Work and value diversity and inclusion. Be ready to discuss how your personal values align with theirs and how you can contribute to their positive work environment.
