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Senior Data Platform Engineer

4 weeks ago

City of London Greater London, United Kingdom Xcede Full time €80,000

Senior Data Platform Engineer Find out more about this role by reading the information below, then apply to be considered. Up to £80,000 1 day a week in office (flexible) 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. Responsibilities

  • Design and implement Data Pipelines for both structured and unstructured data.
  • Support and improve ML infrastructure – particularly Azure ML.
  • Data Engineering: Guarantee data access, Data quality, ETL, Data pipelines
  • Platform administration: Help set up accesses, infrastructure, create new storage, enforce best practices
  • Production: Help the preparation of the data science pipelines, interact with data scientists, re-shape code, support towards some ML Ops principles, make the ML platform easy for users
Requirements
  • An 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 Skills
  • Experienced creating data pipelines in a cloud (preferably Azure) environment
  • TDD & CI/CD experience
  • Containerisation experience (Docker, Kubernetes, etc.)
  • Good understanding of software best practises
  • MongoDB (or NoSQL) experience
  • Terraform experience
  • Previous experience in managing the ML lifecycle with MLFlow
Unfortunately sponsorship isn't provided for this role If you are interested please apply here or reach out to

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