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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
Job Responsibility:
Inspiring and coaching our Data Engineering teams
Working alongside domain-oriented, multi-disciplinary data product teams to design, develop, and test high-quality data solutions
Driving 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
Play a central role in designing and developing a new cloud-based Data Ecosystem
Working 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
Requirements:
Extensive experience with AWS (S3, Glue, Redshift, SageMaker)
Experience leading and coaching individuals to provide ongoing oversight over the development of data products
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 with Docker, Terraform, GitHub Actions, and Vault
Experience in coding SQL, Python, Spark, or Scala to work with data
Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups
Experience in testing and testing standards
Nice to have:
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)
What we offer:
28 days holiday a year plus bank holidays and a holiday buy/sell scheme