Python Software Engineer – SC Cleared

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

• Location: London – hybrid working model
• Salary: Up to £75,000 DOE
• Clearance: Active SC required to start
• Type: Permanent
• Experience: Python, AWS/Azure/GCP, Git, CI/CD, SQL, ETL/Data Pipelines, IaC

Role OpportunityI’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 London. 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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