Junior/Mid Level Data Engineer - Inside IR35 - SC Cleared
Junior/Mid Level Data Engineer - SC Cleared
Inside IR35: £450 - £500 per day
Hybrid: Once a week in London
Start date: 5th Jan
We are supporting a major government data transformation initiative focused on strengthening the use of evidence-based insights across frontline and operational teams. As part of a new capability being built to process and analyse sensitive interview information, the programme requires a SFIA 3 (Junior - Mid Level) Data Engineer to design, deliver, and optimise secure Back End data workflows.
This work is foundational: building the ingestion, orchestration, storage, and transformation layers that power the analytics tool.
The programme is just kicking off, and this is a great time to join, add value, and grow throughout a long-term programme.
Key Responsibilities
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 platform's performance and operational maturity
Communicate progress, risks and trade-offs clearly to wider delivery stakeholders
Required Skills & Experience
Strong Data Engineering experience 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
Inside IR35: £450 - £500 per day
Hybrid: Once a week in London
Start date: 5th Jan
We are supporting a major government data transformation initiative focused on strengthening the use of evidence-based insights across frontline and operational teams. As part of a new capability being built to process and analyse sensitive interview information, the programme requires a SFIA 3 (Junior - Mid Level) Data Engineer to design, deliver, and optimise secure Back End data workflows.
This work is foundational: building the ingestion, orchestration, storage, and transformation layers that power the analytics tool.
The programme is just kicking off, and this is a great time to join, add value, and grow throughout a long-term programme.
Key Responsibilities
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 platform's performance and operational maturity
Communicate progress, risks and trade-offs clearly to wider delivery stakeholders
Required Skills & Experience
Strong Data Engineering experience 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