Employment Type: Full-Time, Permanent
Location: Remote (United Kingdom)
Experience Range: 1 15 Years
Work Authorisation: Must have valid UK work eligibility
Visa Sponsorship: Not available
We are seeking a highly capable AWS Data Engineer to join our data engineering function on a permanent basis. The successful candidate will be responsible for the design, development, and maintenance of robust, scalable, and secure data solutions on Amazon Web Services (AWS).
This role is fully remote within the UK and is open to professionals at varying levels of experience, from early-career engineers to senior specialists.
Key ResponsibilitiesDesign, develop, and maintain end-to-end data pipelines and architectures on AWS
Implement and manage ETL/ELT processes using AWS-native and open-source technologies
Build and optimise data lakes, data warehouses, and analytical platforms
Ensure high standards of data quality, integrity, security, and performance
Collaborate closely with data analysts, data scientists, software engineers, and business stakeholders
Monitor, troubleshoot, and enhance data workflows and platform reliability
Apply best practices for cloud governance, cost optimisation, and security
Produce and maintain clear technical documentation
1 15 years of professional experience in Data Engineering or a related role
Strong hands-on experience with AWS
Proficiency in Python for data processing and automation
Advanced SQL skills for data querying and optimisation
Experience with Apache Spark / PySpark
Solid understanding of data warehousing, data modelling, and pipeline design
Experience working with large-scale datasets in cloud environments
Familiarity with CI/CD practices and Infrastructure as Code (Terraform or CloudFormation)
Experience with streaming data technologies (Amazon Kinesis, Kafka)
Knowledge of workflow orchestration tools (Apache Airflow, AWS Step Functions)
Exposure to NoSQL databases (e.g., DynamoDB)
AWS certifications (Data Engineer, Solutions Architect, or Developer)
Experience working in regulated or GDPR-compliant environments
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