At a Glance
- Tasks: Join our Data and Analytics team to design and develop innovative data solutions.
- Company: Coventry Building Society, a trusted ethical bank with a strong community focus.
- Benefits: 28 days holiday, annual bonus, matched pension contributions, and life assurance.
- Other info: Flexible working patterns available; we celebrate diversity and support wellbeing.
- Why this job: Make a real impact in data engineering while working with cutting-edge technologies.
- Qualifications: Experience with AWS, Python, SQL, Git, and PySpark is essential.
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 & 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.
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)
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. 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
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. Trusted by over four million people, we’re a mutually owned business free from shareholders, and with our combined experience of almost 300 years, our ethics and dedication will continue to guide us. Together, we have shared values and an ethical approach towards our members, customers and colleagues. 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. By working together, we know you’ll build more than just a career with us.
Flexibility and why it matters
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. As part of the application process, disabled applicants can opt in for the Disability Confident Interview Scheme. If there are ever occasions where it is not practicable to interview all candidates that meet the essential criteria, such as when we receive a high number of applications, we commit to interviewing disabled candidates who best meet the minimum essential and desirable criteria.
Data Engineer - AWS in Manchester employer: Coventry Building Society
The Coventry Building Society is an exceptional employer that prioritises employee well-being and professional growth, offering a supportive work culture where innovation thrives. With a focus on team-led hybrid working, employees enjoy flexibility in their schedules while being part of a skilled technical team dedicated to continuous improvement. This role not only provides opportunities for leadership development but also fosters a collaborative environment that values each individual's contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - AWS in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Coventry Building Society!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer - AWS at Coventry Building Society.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Coventry Building Society.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - AWS at Coventry Building Society, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer - AWS in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Coventry Building Society, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Coventry Building Society. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Coventry Building Society
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Coventry Building Society!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
