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Data Engineer - SC Cleared
Hybrid data engineer role in Manchester for a public-sector technology consultancy delivering digital and data transformation for central government. Day to day you build scalable data platforms, pipelines and ETL/ELT solutions using Python, AWS/Azure, Terraform and CI/CD. Active SC clearance is required; salary up to £75k plus 6% pension and 30 days leave.
- Compensation
- £75K / yr
- Location
- Lancashire, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Active SC clearance
- Python - strong hands-on development
- AWS / Azure - practical cloud engineering
- Data engineering - pipelines, ETL/ELT and data transformation
- Terraform / IaC - infrastructure automation
- Testing - unit testing, PyTest and integration testing
- CI/CD & DevOps - automated deployments and production environments
- Git
Nice to have
- Ability to provide technical leadership and mentoring when required
Full description
- Manchester location - hybrid working model
- Active SC required
- Up to £75k DoE + 6% pension, 30 days leave
- Experience required in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC
Role Opportunity
Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex, hands-on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered.
Key Responsibilities
- Build and maintain scalable data platforms, pipelines and services.
- Develop robust Python-based data solutions using modern engineering practices.
- Deliver batch, streaming, ETL/ELT and data transformation solutions.
- Implement CI/CD, IaC and DataOps across production environments.
- Translate client requirements into technical solutions and measurable outcomes.
- Provide technical leadership and mentoring when required
Key Skills Required
- Python - strong hands-on development
- AWS / Azure - practical cloud engineering
- Data Engineering - pipelines, ETL/ELT and data transformation
- Terraform / IaC - infrastructure automation
- Testing - unit testing, PyTest and integration testing
- CI/CD & DevOps - automated deployments and production environments