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- Tasks: Join our Data and Analytics team to design, develop, and test innovative data solutions.
- Company: Coventry Building Society is a leading UK building society focused on improving lives.
- Benefits: Enjoy 28 days holiday, a bonus scheme, pension contributions, and life assurance.
- Why this job: Be part of a recognised 'Great Place to Work' with a culture of support and recognition.
- Qualifications: Data Engineering qualification or extensive experience in SQL, Python, AWS, Git, and PySpark required.
- Other info: Flexible working options available; we prioritise interviews for disabled applicants.
The predicted salary is between 36000 - 60000 £ per year.
Working in our Data and Analytics Delivery department, the Data Engineer will join on a 12-month fixed-term contract to focus on data migration and integration into our new ecosystem.
The Data Engineer will design, develop, and test quality data engineering solutions, challenging and improving our processes, tools, and approach. The role includes review and assurance activities, providing guidance on design, build, and test activities.
Adhering to standard-driven code development, the Data Engineer will deliver solutions meeting business needs in a timely manner, taking responsibility for testing their solutions, including analyzing requirements, designing test cases and scripts, preparing test data, and executing tests to ensure effective and accurate deliverables.
Our benefits include:
- 28 days holiday plus bank holidays and a holiday buy/sell scheme
- Annual discretionary bonus scheme
- Personal pension with matched contributions
- Life assurance (6 times annual salary)
Find out more about the fantastic benefits of joining Coventry Building Society here.
We reserve the right to close this advertisement early if we receive a high volume of suitable applications.
About you
You’ll have a Data Engineering qualification and/or extensive Data Development experience in a commercial or Agile environment.
To succeed, you should:
- Have experience with SQL, Python, AWS, Git, and PySpark
Desirable experience includes:
- SISS or SAS experience
- Quality Assurance and Test Automation experience
- Database technologies experience
- Experience in Financial Services organizations
About us
We’re one of the largest building societies in the UK, committed to improving the lives of others. Recognized as a ‘Great Place to Work,’ our benefits extend beyond basic pay, including a discretionary bonus, a culture of reward and recognition, and wellbeing support.
Since becoming part of The Co-operative Bank, we share values and an ethical approach towards members, customers, and colleagues.
We value equality and diversity and believe working together fosters more than just a career.
All together, better.
Flexibility and why it matters
We consider flexible working patterns; contact us before applying to discuss possibilities.
Proud to be a Disability Confident Employer
We offer interviews or assessments to all disabled applicants meeting minimum criteria. Applicants can opt into the Disability Confident Interview Scheme. In high-volume applications, we prioritize interviewing disabled candidates who meet essential and desirable criteria.
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Data Engineer employer: Coventry Building Society
Contact Detail:
Coventry Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, Python, AWS, Git, and PySpark. Consider working on personal projects or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 2
Network with current or former employees of Coventry Building Society through platforms like LinkedIn. Engaging in conversations can provide you with insights into the company culture and the specifics of the Data Engineer role, which can be invaluable during interviews.
✨Tip Number 3
Prepare for potential technical assessments by brushing up on your data engineering skills. Practice coding challenges related to data migration and integration, as well as quality assurance and test automation, to ensure you're ready to showcase your abilities.
✨Tip Number 4
Research the financial services sector and understand how data engineering plays a role in it. Being able to discuss industry-specific challenges and solutions during your interview will show your genuine interest in the position and the company.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and required skills for the Data Engineer position. Tailor your application to highlight your relevant experience with SQL, Python, AWS, Git, and PySpark.
Highlight Relevant Experience: In your CV and cover letter, emphasise your Data Engineering qualifications and any extensive Data Development experience you have in a commercial or Agile environment. Mention any specific projects where you successfully implemented data migration or integration solutions.
Showcase Your Skills: Make sure to include examples of your experience with quality assurance and test automation, as well as any familiarity with SISS or SAS. This will demonstrate your ability to meet the role's requirements effectively.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Mention why you want to work at Coventry Building Society and how you align with their values.
How to prepare for a job interview at Coventry Building Society
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, AWS, Git, and PySpark during the interview. Prepare examples of how you've used these technologies in past projects, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand Data Migration and Integration
Familiarise yourself with data migration and integration processes, especially in relation to the new ecosystem mentioned in the job description. Be ready to discuss any relevant experiences you have had in these areas, as it shows your understanding of the role's requirements.
✨Prepare for Quality Assurance Questions
Since the role involves testing and quality assurance, be prepared to answer questions about your experience in these areas. Think of specific instances where you designed test cases or executed tests, and be ready to explain your approach to ensuring data quality.
✨Demonstrate Your Problem-Solving Skills
The Data Engineer role requires challenging and improving processes. Be prepared to discuss a time when you identified a problem in a project and how you approached solving it. This will show your analytical thinking and ability to improve existing systems.
