Data Engineer -SQL Full Time

Coventry Building Society is one of the UK’s leading financial institutions, renowned for its commitment to customer service, innovation, and community engagement. With a rich history spanning over a century, the society has established a strong reputation for providing a wide range of financial products including savings accounts, mortgages, and personal loans. Coventry Building Society prides itself on its mutual status, ensuring that customer interests are at the heart of all its operations. The organization fosters a collaborative and inclusive workplace culture, emphasizing professional development and employee well-being. As a forward-thinking entity, Coventry Building Society continually invests in technological advancements to enhance its services and operational efficiency, making it an excellent place for professionals seeking growth and stability in the financial sector.

About The Role

Working within the Data and Analytics Delivery department, the Data Engineer will play a crucial role in supporting the society’s data migration and integration initiatives. This is a 12-month fixed-term contract position designed to focus on transitioning data into the new data ecosystem, ensuring seamless integration and high-quality data management. The successful candidate will be responsible for designing, developing, and testing robust data engineering solutions that align with business objectives and technical standards. This role involves challenging existing processes, tools, and methodologies to improve efficiency, accuracy, and scalability of data operations. The Data Engineer will also undertake review and assurance activities, providing guidance to team members on best practices in design, build, and testing activities. Adhering to coding standards and quality assurance protocols, the individual will ensure timely delivery of solutions that meet business requirements. The role requires a proactive approach to testing, including analyzing requirements, designing test cases and scripts, preparing test data, and executing tests to verify the integrity and performance of data solutions. The position adopts a hybrid working model, with at least one day per week in either the Coventry or Manchester office, promoting collaboration and team engagement.

Qualifications

The ideal candidate will possess a strong background in data engineering, with relevant experience in data migration, integration, and management. A degree in Computer Science, Information Technology, Data Science, or a related field is preferred. Proven expertise in SQL, Python, or other programming languages used in data engineering is essential. Experience with cloud platforms such as AWS, Azure, or Google Cloud, as well as familiarity with data warehousing solutions like Snowflake, Redshift, or similar, is highly desirable. Candidates should demonstrate a solid understanding of data modeling, ETL/ELT processes, and data quality assurance techniques. Excellent problem-solving skills, attention to detail, and the ability to work collaboratively within a team are crucial. Strong communication skills are necessary to articulate technical concepts to non-technical stakeholders. Prior experience working in financial services or regulated environments will be considered an advantage.

Responsibilities

The primary responsibilities of the Data Engineer include designing and developing scalable data pipelines and solutions that facilitate efficient data migration and integration. You will review existing data processes, identify areas for improvement, and implement innovative solutions to enhance data quality and accessibility. Collaborating with cross-functional teams, including data analysts, architects, and business stakeholders, to gather requirements and deliver fit-for-purpose data solutions is key. You will be responsible for writing clean, efficient, and well-documented code that adheres to organizational standards. Ensuring data security and compliance with relevant regulations is a critical aspect of the role. You will conduct thorough testing of data solutions, including creating test cases, preparing test data, executing tests, and documenting results. Providing guidance and mentorship to junior team members, supporting their development and ensuring best practices are followed, is also part of your responsibilities. Additionally, you will stay updated on the latest industry trends and emerging technologies to continuously improve data engineering practices within the organization.

Benefits

Coventry Building Society offers a comprehensive benefits package designed to support employee well-being and professional growth. Employees enjoy 28 days of holiday annually, in addition to bank holidays, with the option to participate in a holiday buy/sell scheme. The society provides an annual discretionary bonus scheme as recognition of individual and team contributions. A personal pension plan with matched contributions helps employees plan for their future, while life assurance coverage of six times the annual salary offers peace of mind. The organization promotes a healthy work-life balance through its hybrid working model, which includes at least one day in the office per week, fostering collaboration and team cohesion. Additional benefits may include access to learning and development programs, employee assistance services, and discounts on financial products. Coventry Building Society is committed to creating an inclusive environment where all employees can thrive and succeed.

Equal Opportunity

Coventry Building Society is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, religion, or any other protected characteristic. We believe that a diverse workforce enhances our ability to serve our members and community effectively. All qualified applicants will receive fair consideration for employment, and we are dedicated to providing equal opportunities for growth and development within the organization.