Senior Data Engineer

Job Description
SENIOR 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.
Responsibilities
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.
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.)
MongoDB (or NoSQL) experience
Terraform experience
Previous experience in managing the ML lifecycle with MLFlow