SC Cleared Python & Data Engineer — Cloud & ETL Specialist

Searchability NS&D; Greater London; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

Public Sector Consultancy in London is seeking a Python Engineer / Data Engineer for a hands-on role delivering data solutions on modern data platforms. You will work across Python development, data pipelines, and cloud infrastructure with CI/CD and IaC practices, in a hybrid London setting.

The role requires strong Python skills, cloud experience (AWS/Azure/GCP) and active SC clearance to start. Collaboration with data teams and stakeholders across agile projects is expected.

Qualifications

• Python and hands-on development experience.
• Experience with cloud platforms (AWS/Azure/GCP).
• Git version control and CI/CD practices.
• SQL and data pipelines ETL/ELT experience.
• Infra as Code with Terraform awareness or practice.
• Active SC clearance to start.

Responsibilities

• Develop and maintain Python-based applications and data solutions.
• Build and support data pipelines and data transformations.
• Work with AWS/Azure/GCP cloud platforms.
• Apply software engineering practices including Git, testing and CI/CD.
• Support cloud infrastructure and automation using IaC.
• Work with databases and SQL.
• Ensure data quality, cleansing and standardisation.
• Collaborate with engineers, data specialists and stakeholders.
• Operate within Agile, multidisciplinary teams.

Skills

Python

AWS

Azure

GCP

Git

CI/CD

SQL

Data Engineering

Testing

Terraform

SC Clearance

Tools

Docker

Airflow

Pandas

AWS Glue

Job description

Public Sector Consultancy in London is seeking a Python Engineer / Data Engineer for a hands-on role delivering data solutions on modern data platforms. You will work across Python development, data pipelines, and cloud infrastructure with CI/CD and IaC practices, in a hybrid London setting.

The role requires strong Python skills, cloud experience (AWS/Azure/GCP) and active SC clearance to start. Collaboration with data teams and stakeholders across agile projects is expected.