Remote AWS Data Engineer Jobs in the United Kingdom
Search 6 work from home aws data engineer positions available in the United Kingdom. Your career in truly remote companies - apply today.
1 hour ago
Job not on LinkedIn
Data Engineer building robust data pipelines and scalable architecture at Ledgy. Collaborating with teams to deliver insights driving business decisions.
November 11
Data Engineer at Kraken focusing on extracting and organizing blockchain data. Collaborating with teams to enhance data integrity and analysis for institutional clients.
October 31
Data Engineer overseeing the company data warehouse and providing MI and KPI reporting. Supporting business performance through effective data analysis and insights.
October 21
Job not on LinkedIn
Data Engineer supporting MDM initiative and associated data governance activities. Implementing data pipelines, metadata management, and data quality solutions within Azure environments.
October 3
Data Engineer focusing on data pipelines for life sciences at Veeva, improving data processing and collaboration with data science teams.
January 16
Job not on LinkedIn
Axiom Software Solutions Limited
201 - 500
Join as a Data Engineer, leveraging skills in data engineering and pipeline management, fully remote.
Frequently asked questions
You need strong skills in data modeling, ETL processes, and cloud-based solutions. Proficiency in AWS services like S3, Redshift, and Glue is essential, along with programming skills in Python, SQL, or Java. Knowledge of data warehousing and big data technologies is also important.
Typically, a degree in computer science, engineering, or a related field is preferred. Relevant certifications such as AWS Certified Data Analytics or AWS Certified Solutions Architect can enhance your profile. Practical experience with data engineering and cloud technologies is crucial.
Responsibilities include designing and maintaining data pipelines, ensuring data quality and integrity, collaborating with data scientists and analysts, and optimizing AWS resources for data processing. You'll also need to monitor and troubleshoot data workflows.
Benefits include flexible working hours, a remote work environment, the ability to collaborate with global teams, reduced commuting times, and potential for higher salary due to the demand for AWS skills. It also offers opportunities for continuous learning and professional growth.