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- Design 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.
- 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.)
- MongoDB (or NoSQL) experience
- Terraform experience
- Previous experience in managing the ML lifecycle with MLFlow
Senior Data Engineer - Hertfordshire, United Kingdom - Xcede
Description
SENIOR DATA ENGINEER
(Hertfordshire HQ – circa x1 day a week in office)
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
Requirements