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Python Software Engineer - SC Cleared

Job in City Of London, Central London, Greater London, England, UK
Listing for: Searchability
Full Time position
Listed on 2026-10-05
Job specializations:
  • Software Development
    Python, Data Engineering, AWS
Salary/Wage Range or Industry Benchmark: 75000 GBP Yearly GBP 75000.00 YEAR
Job Description & How to Apply Below
Python Engineer / Data Engineer – SC Cleared
New 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 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 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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