Data Engineer - SC Cleared - AWS
SR2
South Ockendon, United Kingdom
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
£ 66KJob location
South Ockendon, United Kingdom
Tech stack
Agile Methodologies
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Continuous Integration
Data as a Services
Information Engineering
Data Integrity
ETL
DevOps
Python
SQL Databases
Unstructured Data
Backend
Gitlab
Terraform
Data Pipelines
Docker
Job description
- Design, develop and maintain scalable cloud-native data pipelines
- Implement ETL/ELT processes to manage structured and unstructured data securely and efficiently
- Ensure data integrity, traceability and compliance across all pipeline stages
- Work with cross-functional teams to define technical requirements and design decisions
- Apply DevOps best practices, monitoring, and automation to improve reliability
- Support continuous improvement of the platforms performance and operational maturity
- Communicate progress, risks and trade-offs clearly to wider delivery stakeholders
Technologies:
- AWS
- Lambda
- Backend
- CI/CD
- Cloud
- DevOps
- Docker
- ETL
- GitLab
- Support
- Python
- SQL
- Terraform
Requirements
- Strong Data Engineering expertise within AWS environments
- Hands-on experience with core AWS data services: S3, Glue, Lambda, Athena, Kinesis, Step Functions (or similar)
- Proficiency in Python and SQL for data transformations and automation
- Experience with IaC and CI/CD tooling (Terraform, GitLab, etc.)
- Comfortable working with sensitive datasets and secure-by-design approaches
- Strong communication skills and a proactive, consulting mindset
- Experience delivering as part of an Agile, multi-disciplinary team
- Desirable:
- Knowledge of backend processing for analytics workloads (but not essential)
- Familiarity with containerised deployments (Docker/ECS)
- Experience working to SFIA-aligned delivery expectations in government or regulated contexts