Data Engineer
Remote, United Kingdom
Applications have closed
Waracle
Waracle collaborate with businesses in financial services, health & energy to design and engineer intelligent digital experiences.Waracle is an industry leading team delivering digital solutions that transform how we live, work and play. Our growth has been significant and sustained, developing premium grade enterprise software for some of the UK's biggest brands.
Recently recognised by Clutch as one of the Top B2B companies in the UK, we are constantly seeking top industry talent to join our team and grow our expertise.
Waracle is looking for a talented Senior Data Engineer to join our friendly Digital Health team. You will be responsible for expanding our data architecture and building data systems from the ground up.
The Data Engineer will help shape the future of our machine learning platform and have a strong background with Azure cloud platform. You will be an experienced data pipeline builder and data wrangler who is comfortable adding new components and optimising existing components in large data platforms. This role involves working in a highly technical team, supported by our software developers, architects, data analysts and data scientists.
We pride ourselves in our remote first ethos, so this role can be on a fully remote basis from anywhere in the UK. We also have 4 tech hubs (London, Edinburgh, Glasgow and Dundee) if you are looking for a more hybrid approach.
Requirements
Strong experience using Python to ingest, transform, and publish large and varied datasets.
Knowledge of Data specific libraries such as Pandas, PyMongo, Seaborn or similar.
Demonstrable knowledge of cloud platforms such as Azure or AWS.
Strong technical experience and understanding of data processing principles and architectures.
Competent communicator, able to liaise with both engineers and stakeholders.
Ability to document and diagram all technical implementations.
The benefits you can expect at Waracle include:
Flexible working and a remote-first ethos
Holidays – 31 days per year and a day off on your birthday.
35 hour working week
Company Pension and personal financial advisor
Free access to 1000s of personal development courses
Group Life and Medical Cover
Enhanced maternity and paternity leave
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Machine Learning Pandas Python Seaborn
Perks/benefits: Career development Flex hours Health care Medical leave Parental leave
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