SC Cleared Python Data Engineer – Azure & PySpark

SC Cleared Python Data Engineer – Azure & PySpark

Posted 4 days ago by Montash

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£53 Per hour
Inside
Hybrid
England, United Kingdom
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Azure Blob Storage Azure Databricks Azure DevOps Behavioral Driven Development (BDD) Cloud Computing Cloud Technology Code Injection Continuous Integration and Continuous Delivery Databricks Data Governance Data Processing Data Science Dependency Injection DevOps Docker (Software) Generic Programming Microsoft Azure Pyspark Python (Programming Language) Security Clearance Software Development Verification And Validation

Summary: The SC Cleared Python Data Engineer role focuses on designing, developing, and optimizing Azure-based data pipelines using Python and PySpark. The position requires active SC Clearance and involves collaboration with cloud, DevOps, and data science teams in a fast-paced engineering environment. The engineer will be responsible for delivering scalable data processing solutions and ensuring best practices in cloud security and data governance. The role offers a contract for 12 months with a competitive day rate.

Key Responsibilities:

  • Develop and maintain ingestion, transformation, and validation pipelines using Python and PySpark
  • Implement unit and BDD testing with Behave, including mocking, patching, and dependency management
  • Design and manage Delta Lake tables, ensuring ACID compliance, schema evolution, and incremental loading
  • Build and maintain containerised applications using Docker for development and deployment
  • Develop configuration-driven, modular, and reusable engineering solutions
  • Integrate Azure services including Azure Functions, Key Vault, and Blob Storage
  • Collaborate with cloud architects, data scientists, and DevOps teams on CI/CD processes and environment configuration
  • Tune and troubleshoot PySpark jobs for performance in production workloads
  • Maintain documentation and follow best practices in cloud security and data governance

Key Skills:

  • Strong Python programming skills with test-driven development
  • Experience writing BDD scenarios and unit tests using Behave or similar tools
  • Skilled in mocking, patching, and dependency injection for Python tests
  • Proficiency in PySpark and distributed data processing
  • Hands-on experience with Delta Lake (transactional guarantees, schema evolution, optimisation)
  • Experience with Docker for development and deployment
  • Familiarity with Azure Functions, Key Vault, Blob Storage or Data Lake Storage Gen2
  • Experience working with configuration-driven systems
  • Exposure to CI/CD tools (Azure DevOps or similar)

Salary (Rate): £53.00/hr

City: undetermined

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: SC Cleared Python Data Engineer – Azure & PySpark

Contract Type: 12 Month Contract

Day Rate: Up to £400 a day inside IR35

Location: Remote or hybrid (as agreed)

Start Date: January 5th 2026

Clearance required: Must be holding active SC Clearance

We are seeking an experienced Python Data Engineer to support the design, development, and optimisation of Azure-based data pipelines. The focus of this role is to deliver scalable, test-driven, and configuration-driven data processing solutions using Python, PySpark, Delta Lake, and containerised workloads. This opportunity sits within a fast-paced engineering environment working closely with cloud, DevOps, and data science teams.

Key Responsibilities

  • Develop and maintain ingestion, transformation, and validation pipelines using Python and PySpark
  • Implement unit and BDD testing with Behave, including mocking, patching, and dependency management
  • Design and manage Delta Lake tables, ensuring ACID compliance, schema evolution, and incremental loading
  • Build and maintain containerised applications using Docker for development and deployment
  • Develop configuration-driven, modular, and reusable engineering solutions
  • Integrate Azure services including Azure Functions, Key Vault, and Blob Storage
  • Collaborate with cloud architects, data scientists, and DevOps teams on CI/CD processes and environment configuration
  • Tune and troubleshoot PySpark jobs for performance in production workloads
  • Maintain documentation and follow best practices in cloud security and data governance

Required Skills & Experience

  • Strong Python programming skills with test-driven development
  • Experience writing BDD scenarios and unit tests using Behave or similar tools
  • Skilled in mocking, patching, and dependency injection for Python tests
  • Proficiency in PySpark and distributed data processing
  • Hands-on experience with Delta Lake (transactional guarantees, schema evolution, optimisation)
  • Experience with Docker for development and deployment
  • Familiarity with Azure Functions, Key Vault, Blob Storage or Data Lake Storage Gen2
  • Experience working with configuration-driven systems
  • Exposure to CI/CD tools (Azure DevOps or similar)

Preferred Qualifications

  • Experience working with Databricks or Synapse
  • Knowledge of data governance, security, and best practices in the Azure ecosystem
  • Strong communication and collaboration skills, ideally within distributed teams
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