Senior DataOps Engineer

The Coventry Building Society, Draper's Fields, Coventry

Senior DataOps Engineer

Salary not available. View on company website.

The Coventry Building Society, Draper's Fields, Coventry

  • Full time
  • Permanent
  • Onsite working

Posted 2 weeks ago, 7 Jul | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: c1bd5e55a2be4eb09b4c27a46d57d3c3

Full Job Description

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, were 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)

    You have experience building and automating data pipelines in finance. You focus on making data systems run smoothly and automatically using a DataOps or DevOps approach.
  • You can demonstrate how to automate and manage data systems so they run smoothly and can grow easily.
  • You have experience with tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms.
  • You're also familiar with Docker, Terraform, GitHub Actions, and Vault for managing secrets.
  • You can code in SQL, Python, Spark, or Scala to work with data.
  • You have experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data.
  • You have experience in testing and testing standards
  • You can lead and coach individuals to provide ongoing oversight over the development of data products.
  • Desirable experience will be:
  • 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)
  • Understanding of Data Science, AI and Machine Learning ways of working

    About usWe'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.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.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.All together, better.Flexibility and why it mattersWe 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

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