Python Software Engineer - SC Cleared

Python Engineer / Data Engineer - SC Cleared

New Permanent Opportunity for an SC Cleared Python Engineer / Data Engineer with a leading Public Sector Consultancy

• Location : Cardiff - hybrid working model
• Salary : Up to £50,000 DOE
• Clearance : Active SC required to start
• Type : Permanent
• Experience : Python, AWS/Azure/GCP, Git, CI/CD, SQL, ETL/Data Pipelines, IaC

Role Opportunity

I'm currently working with a leading public sector technology consultancy delivering digital, data and technology projects across government.

They're looking for a Python Engineer / Data Engineer to join their growing team in Cardiff. This is a hands-on engineering role that would suit a strong Python / Backend Engineer with an interest in data engineering and cloud technologies.

You'll work on modern data platforms and services, developing Python-based solutions while gaining exposure to data pipelines, cloud infrastructure, CI/CD and Infrastructure as Code.

Key Responsibilities:

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

Key Skills Required:

• Python - strong hands-on development experience
• Cloud - AWS, Azure or GCP
• Git - version control
• CI/CD - understanding of modern software delivery
• SQL - basic commercial experience
• Data Engineering - ETL/ELT, data pipelines and transformation
• Testing - unit, integration and data quality testing
• IaC / Terraform - awareness or practical experience
• SC Clearance - active clearance required to start

Desirable:

• Docker
• Airflow / AWS Glue
• Pandas
• Data Lakes / Data Warehouses
• Public sector or consultancy experience
• Agile delivery experience
• Experience working alongside data science / ML teams

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