Senior Data Engineer

Job DescriptionSENIOR DATA ENGINEER(Hertfordshire HQ – circa x1 day a week in office. Commutable from London.)Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps.ResponsibilitiesDesign and implement both Data Pipelines for both structured and unstructured data.Support and improve ML infrastructure – particularly Azure ML.Contribute to MLOps across the organisation.RequirementsAn academic background in Statistics, Mathematics, or Computer Science (or similar)A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just writing code)An ability to write production quality Python code.Strong SQL SkillsExperienced creating data pipelines in a cloud (preferably Azure) environmentTDD & CI/CD experienceContainerisation experience (Docker, Kubernetes, etc.)MongoDB (or NoSQL) experienceTerraform experiencePrevious experience in managing the ML lifecycle with MLFlow
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