Remote Cloud Data Engineer Jobs in the United Kingdom

Search 2 work from home cloud data engineer positions available in the United Kingdom. Your career in truly remote companies - apply today.

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Cloud Data Engineer
๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom โ€“ Remote (UK)
๐Ÿ’ต Minimum Salary
โšช๏ธ Experience
2 Jobs
๐Ÿ†• Date Added

Cloud Engineer

October 23

Job not on LinkedIn

Valamis

51 - 200

๐Ÿ“š Education

โ˜๏ธ SaaS

๐Ÿข Enterprise

Cloud Engineer developing robust, scalable solutions for Totara's hosting platform. Designing, building, and maintaining cloud infrastructure for global learning and talent development.

Cloud Engineer

February 8

Job not on LinkedIn

Keywords Studios

10,000+ employees

๐ŸŽฎ Gaming

๐Ÿ“ฑ Media

๐Ÿค– Artificial Intelligence

Seeking a certified Azure Specialist to support Azure services for Keywords Studios. Must have strong scripting skills and a proactive attitude.

Remote cloud data engineer salary expectations in the United Kingdom

The average salary for remote cloud data engineers in the United Kingdom is ยฃ0 per year. This is based on data from 1 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.

Below is a breakdown of salary data by years of experience:

ExperienceNumber of roles analyzedAverage Salary

๐ŸŸ  Senior Cloud Data Engineer (5-9 yrs)

1ยฃ0

Frequently asked questions

You need strong programming skills in languages like Python or Java, experience with cloud platforms such as AWS, Azure, or Google Cloud, knowledge of SQL and NoSQL databases, and data modeling expertise. Additionally, skills in data warehousing, ETL processes, and data pipeline construction are essential.

Typically, a degree in computer science, information technology, or a related field is required. Hands-on experience in data engineering or cloud computing is crucial. Certifications in relevant cloud services or big data technologies can enhance your profile.

Responsibilities include designing and building data pipelines, maintaining cloud infrastructure, ensuring data quality and integrity, collaborating with data scientists and analysts, and optimizing data storage and retrieval processes. You will also be responsible for monitoring and troubleshooting data systems.

Benefits include flexible work environments, reduced commuting time, and the ability to work from various locations. Thereโ€™s generally a good work-life balance, opportunities for continuous learning in cutting-edge technologies, and the chance to work with diverse teams and projects globally.

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