AWS Data Engineer
UBDS Digital
Greater London, UK
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Airflow
Amazon Web Services
Confluence
Audit Trail
Computer Programming
Data Infrastructure
Data Systems
Identity and Access Management
Python (Programming Language)
Role-Based Access Control
Cloud Services
+17 more
SQL Databases
YAML
Electronic Medical Records
Gitlab
Git
Cloudformation
Documentation System
Containerization
Gitlab-ci
Infrastructure Automation Frameworks
AWS Data Analytics
Cloudwatch
Amazon Simple Queue Service (SQS)
Terraform
Software Version Control
Data Pipelines
Docker
Job description
Rayo, part of the UBDS Group, is seeking highly skilled, security-cleared AWS Data Engineers at all levels to design, build, and maintain scalable data pipelines and infrastructure using AWS-native services. This role focuses on data orchestration, automation, and containerisation to support high-performance data workflows across the organisation., * Develop and maintain data pipelines using Python, SQL, and Apache Airflow.
- Containerise data applications and workflows using Docker.
- Build and optimise data solutions using AWS services including Redshift, OpenSearch, Lambda, Glue, Step Functions, and Batch.
- Collaborate with cross-functional teams to deliver robust, secure, and scalable data infrastructure.
- Manage version control using GitLab (or similar).
- Monitor and troubleshoot data pipeline performance and reliability.
- Contribute to documentation and process improvement initiatives.
- Ensure data quality, governance, and security best practices are followed., At UBDS Group our mission is to support entrepreneurs who are setting new standards with technology solutions across cloud services, cybersecurity, data and AI, ensuring that every investment advances our commitment to innovation, making a difference, and creating impactful solutions for organisations and society.
Requirements
- Strong programming skills in Python and proficiency in SQL.
- Experience with Apache Airflow for DAG orchestration and monitoring.
- Hands-on experience with Docker for containerisation.
- Proficient in AWS data services: Redshift, OpenSearch, Lambda, Glue, Step Functions, Batch.
- Familiarity with CI/CD pipelines and YAML-based configuration (e.g., GitLab CI/CD).
- Proficient in Git and collaborative development using GitLab (or similar).
- Understanding of AWS security best practices, IAM policies, and RBAC., * Experience with AWS services such as Athena, SQS, CloudWatch, CloudTrail, EMR.
- Exposure to infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Familiarity with documentation tools like Confluence and README standards.
- Experience working in consulting or client-facing environments.
Soft Skills
- Strong problem-solving and troubleshooting abilities.
- Comfortable working in Agile environments.
- Effective stakeholder management and communication skills.
- Collaborative mindset and willingness to share knowledge.
Benefits & conditions
- Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies.
- Private medical cover for you and your spouse/partner, offered via Vitality.
- Discretionary bonus based on a blend of personal and company performance.
- Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays.
- Electric Vehicle leasing with salary sacrifice.
- Contributed Pension Scheme.
- Death in service cover.
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