At a Glance
- Tasks: Design and develop data engineering solutions while improving processes and tools.
- Company: Join a purpose-led building society with a commitment to ethics and diversity.
- Benefits: 28 days holiday, discretionary bonus, matched pension contributions, and life assurance.
- Other info: Hybrid work model with at least 1 day in the office; recognised as a 'Great Place to Work'.
- Why this job: Make an impact in a dynamic environment with opportunities for growth and innovation.
- Qualifications: Experience in AWS, Python, SQL, Git, and data development.
The predicted salary is between 40000 - 50000 £ per year.
About the role
We have a number of Data Engineer opportunities, working in our Data and Analytics Delivery department. The Data Engineers 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. 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 & scripts, 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.
- 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)
We reserve the right to close this advert early if we receive a high volume of suitable applications.
About you
You’ll either have a Data Engineering related qualification and/or extensive Data Development experience in a commercial or Agile environment. Have significant experience of AWS, Python, SQL, Git and PySpark, SISS or SAS experience, Quality Assurance and Test Automation experience, Experience of Database technologies, Experience in Financial Services organisation.
About us
In 2025, Coventry Building Society purchased The Co-operative Bank. Bringing together our purpose-led building society with the UK’s original ethical bank was the start of an exciting journey. We’re officially recognised as a ‘Great Place to Work’ and our benefits go beyond basic pay, with a discretionary bonus scheme, a culture of reward and recognition and comprehensive support for wellbeing. We’re serious about equality, of race, age, faith, disability, and sexual orientation and we celebrate diversity. 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. As part of the application process, disabled applicants can opt in for the Disability Confident Interview Scheme.
Data Engineer - Ingénieur de Données - Aws H/F in Coventry employer: Coventry Building Society
At Coventry Building Society, we pride ourselves on being a 'Great Place to Work', offering a supportive and inclusive environment where diversity is celebrated. Our Data Engineers benefit from a hybrid work model, competitive salary packages including a discretionary bonus, and extensive opportunities for personal and professional growth, all while contributing to meaningful projects in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Ingénieur de Données - Aws H/F in Coventry
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Practice coding challenges and be ready to discuss your experience with AWS, Python, and SQL. We want to see how you think and solve problems!
✨Tip Number 3
Show off your passion for data engineering! Share personal projects or contributions to open-source. It’s a great way to demonstrate your skills and enthusiasm beyond just your CV.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer - Ingénieur de Données - Aws H/F in Coventry
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 relevant projects you've worked on. We want to see how your skills match 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 engaging – we love a good story!
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples where you've improved processes or solved complex problems. We’re all about challenging the norm, so show us how you think outside the box!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
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 might be asked to solve problems or discuss your experience with them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've improved processes or tools in your previous roles. Think about challenges you've faced and how you overcame them, especially in a data engineering context.
✨Understand the Business Context
Familiarise yourself with the financial services sector and how data engineering plays a role in it. Being able to connect your technical skills to business needs will impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the hybrid work model, and the projects you might be working on. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
