Junior/Mid Level Data Engineer - Inside IR35 - SC Cleared

SR2 - Socially Responsible Recruitment; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading recruitment agency is looking for a Junior/Mid Level Data Engineer to support a government data transformation initiative. This hybrid role requires working once a week in London. The successful candidate will design and maintain cloud-native data pipelines, work with AWS services, and ensure secure data handling. Ideal applicants will have solid Data Engineering experience, proficiency in Python and SQL, and a proactive mindset. This is a great opportunity to grow within a long-term programme.

Qualifications

• Strong Data Engineering experience within AWS environments.
• Hands-on experience with core AWS data services including S3, Glue, Lambda, Athena, Kinesis, and Step Functions.
• Proficiency in Python and SQL for data transformations and automation.

Responsibilities

• Design, develop and maintain scalable cloud-native data pipelines.
• Implement ETL/ELT processes to manage structured and unstructured data securely.
• Ensure data integrity, traceability, and compliance across all pipeline stages.

Skills

Data Engineering experience within AWS environments

Proficiency in Python

Proficiency in SQL

Experience with IaC and CI/CD tooling

Strong communication skills

Tools

S3

Glue

Lambda

Athena

Kinesis

Step Functions

Terraform

GitLab

Job description

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