Senior DataOps Engineer

As the world of data engineering becomes increasingly pivotal in driving modern digital ecosystems, The Coventry is looking to welcome a Senior DataOps Engineer who can inspire and coach our existing Data Engineering teams.

This is more than just a technical role, we are looking to build a culture of innovation, ownership, and continuous improvement. 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.

What You’ll Be Doing

• Drive automation and CI/CD practices across data pipelines and infrastructure
• Build robust, scalable, and secure infrastructure that supports our data platform strategy
• Lead and mentor data engineers, fostering a high-performance, collaborative environment
• Play a central role in designing and developing a new cloud-based Data Ecosystem
• Work closely with stakeholders to analyse requirements, design test strategies, and ensure data quality and integrity through comprehensive testing
• Collaborate in an agile environment with product managers, analysts, and developers to deliver data products that create tangible business value

If you enjoy solving problems, automation, improving systems with IaC, and working with great people — we’d love to hear from you.

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)

About you

To be successful in this role it’s essential you have:

• Experience building and automating data pipelines in finance, focusing on making data systems run smoothly and automatically using a DataOps or DevOps approach.
• Demonstrated ability to automate and manage data systems for smooth operation and scalability.
• Experience with tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms.
• Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets.
• Proficiency in SQL, Python, Spark, or Scala to work with data.
• Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups, and working with both structured and unstructured data.
• Experience in testing and testing standards.
• Ability to lead and coach individuals to provide ongoing oversight over the development of data products.

Desirable experience will be:

• Experience working in an Agile Team; preferably Safe.
• Experience with specific tooling like Qlik Replicate / Qlik Compose / DataBricks / Informatica / SAS.
• An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse).
• Understanding of Data Science, AI, and Machine Learning methodologies.

About us

We’re 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.

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. If there are ever occasions where it is not practicable to interview all candidates that meet the essential criteria, we commit to interviewing disabled candidates who best meet the minimum essential and desirable criteria.