DataOps Engineer - AWS
Role details
Job location
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Job description
We have an exciting opportunity for aSenior DataOps Engineerto 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)
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Requirements
For this role youll need to have:
- 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 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 in these areas would be helpful:
- Possess an AWS qualification
- Experience of working in an Agile Team; preferably Safe.
- Experience in specific tooling Qlik Replicate / Qlik Compose / DataBricks / Informatica / SAS
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