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Burns Sheehan
Greater London
Job Description Senior Data Platform Engineer Location: Hybrid working across the UK with a central London base of operations Eligibility: You must either possess or be eligible to apply for Security Clearance (SC) Salary range: £80,000 to £105,000 Technology: AWS/Azure, Python, CI/CD Burns Sheehan is working with an AI consultancy opera
Job Source: Burns SheehanXcede
London
Job Description Senior Data Platform Engineer 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 bon
Job Source: XcedeBurns Sheehan
greater london, england, United Kingdom
Senior Data Platform Engineer Location: Hybrid working across the UK with a central London base of operations Eligibility: You must either possess or be eligible to apply for Security Clearance (SC) Salary range: £80,000 to £105,000 Technology: AWS/Azure, Python, CI/CD Burns Sheehan is working with an AI consultancy operating at the intersec
Job Source: Burns SheehanEMIS
united kingdom
Here at EMIS we are excited to share that we have a fantastic opportunity for an experienced Software Development Engineer to come and join our team on a permanent basis! Our EMIS X Analytics team have worked hard to build a data platform to help the NHS manage one of the richest healthcare datasets in the world, which currently houses 1 Petabyte
Job Source: EMISNigel Frank International
Watford
Job Description - Data Platform Engineer Nigel Frank International are working alongside a market leading organisation within the education sector who are growing their data team at a rapid rate. As such, there is a requirement for a Data Platform Engineer to join the organisation on a fixed term contractual basis until August 2025. This is a fant
Job Source: Nigel Frank InternationalMimecast
London
Job Description The driving force behind Big Data at Mimecast: Dive into the forefront of innovation with our Data Platform engineering team, where we process massive volumes of data to delight our customers with insights they love! Our pioneering Data Platform pushes on the boundaries of what’s possible, leveraging the latest technologie
Job Source: MimecastMimecast
London Area, United Kingdom
The driving force behind Big Data at Mimecast: Dive into the forefront of innovation with our Data Platform engineering team, where we process massive volumes of data to delight our customers with insights they love! Our pioneering Data Platform pushes on the boundaries of what’s possible, leveraging the latest technologies and tooling in AWS. Why
Job Source: MimecastAI Connect
, United Kingdom
Principal Data Platform Engineer - APIs Fully Remote, with 1 Edinburgh office visit per month Reports to Director of Engineering AI Connect have partnered with a leading name in the gaming & gambling space to hire a Principal Data Platform Engineer to lead the development of their Enterprise API tooling. Their self-service data platform, hosted in
Job Source: AI ConnectLondon Area, United Kingdom
Senior Data Platform Engineer
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 [email protected]
Senior Data Platform Engineer jobs in London Area, United Kingdom
ⓘ There was an unexpected error processing your request.
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