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About the role We have an exciting opportunity for a Senior DataOps Engineer to join the Group and take responsibility for inspiring and coaching our Data Engineering teams. The person in post will be working alongside domain-oriented, multi-disciplinary data product teams to design, develop, and test high-quality data solutions that serve as the backbone of our decision-making and digital services. Driving automation and CI/CD practices across data pipelines and infrastructure, the Senior DataOps Engineer will build robust, scalable, and secure infrastructure that supports our data platform strategy. The role holder will lead and mentor data engineers, fostering a high-performance, collaborative environment. They will also play a central role in designing and developing a new cloud-based Data Ecosystem. Working closely with stakeholders to analyse requirements the person in post will design test strategies and ensure data quality and integrity through comprehensive testing. They will also collaborate in an agile environment with product managers, analysts, and developers to deliver data products that create tangible business value. Benefits: 28 days holiday a year plus bank holidays and a holiday buy/sell scheme Annual discretionary bonus scheme Personal pension with matched contributions Maternity, paternity and sharedparental leave Extensivewellbeing support Life assurance (6 times annual salary) Find out more about the fantastic benefits of joining Coventry Building Societyhere This role can be based from either our Head Office campus in Coventry or our Manchester office. A team-led hybrid working arrangement is in place. About you To be successful in this role its essential you have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience of building and automating data pipelines in finance The ability to demonstrate, automate and manage data systems so they run smoothly and can grow easily. Familiarity withDocker, Terraform, GitHub Actions, and Vault Experience in codingSQL, Python, Spark, or Scalato work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing and testing standards Experience leading and coaching individuals to provide ongoing oversight over the development of data products. Desirable experience will be: Possess an AWS qualification Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate / Qlik Compose / DataBricks / Informatica / SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) About us Were one of the largest building societies in the UK and we share a mutual goal across our branches and our offices to improve the lives of others. Were 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. At the beginning of the year, The Co-operative Bank officially became part of our Group. Together, we have shared values and an ethical approach towards our members, customers, and colleagues. Were serious about equality, of race, age, faith, disability, and sexual orientation and we celebrate diversity. By working together, we know youll build more than just a career with us. All together, better. Flexibility and why it matters We understand the need for flexibility, so wherever possible, well 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 Were proud to offer an interview or assessment to every disabled applicant who meet 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. TPBN1_UKTJ

What we're looking for: ✔ Google Cloud Platform expertise ✔ Strong skills in Python (data ingestion) and BigQuery ✔ Solid understanding of Data Modeling ✔ 3-5 years of experience in data engineering ✔ Experience with SAP data extraction. We're looking for a Google Cloud Data Engineer who c