Data Engineer – SC Cleared

Searchability; City Of London; Hybrid; GBP 68,000 - 83,000; Full time

Benefits offered by this job

Pension (6%)

30 days leave

Job summary

Searchability, a London-based public sector technology consultancy, is seeking a hands-on data engineer to design and build modern data platforms that support government digital services.

You will work on scalable pipelines, ETL/ELT, and cloud solutions using Python and AWS, implementing CI/CD and IaC, and mentoring teammates in a collaborative hybrid environment.

Qualifications

• Experience building data platforms using Python.
• Hands-on cloud engineering with AWS/Azure.
• Experience with CI/CD, IaC and DataOps.

Responsibilities

• Build and maintain scalable data platforms, pipelines and services.
• Develop 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.

Skills

Python

Data Engineering

ETL/ELT

Data Pipelines

Testing

Tools

AWS

Azure

Git

CI/CD

Terraform / IaC

PyTest

Job description

• London customer 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