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Senior Data Platform Engineer.
4 weeks ago
Job Description Senior Data Platform Engineer
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.
Design and implement Data Pipelines for both structured and unstructured data.
Data Engineering: Guarantee data access, Data quality, ETL, Data pipelines
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
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
Good understanding of software best practises
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