Python Data Engineer-Azure

Vallum Associates
Liverpool
2 weeks ago
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Job Title: Python Data Engineer- Azure

Location: Remote (Occasional visits to London)

Duration: 9Months+ Contract Inside IR35

  • Role Summary:
  • We are seeking a versatile and experiencedData Engineerwith a strong foundation inPython,PySpark, and modern data platforms. This role demands hands-on experience withCI/CD automation,unit testing, and working withinAzure environments— both through theAzure Portalandautomated scripts. Exposure todata pipelines,big data file formats, andAzure-native servicesis crucial.
  • Key Responsibilities:
  • Develop and optimize data processing workflows using Python and PySpark.
  • Manage and transform data using SparkSQL, handling data stored in Delta, Parquet, and other file formats.
  • Write and maintain Pytest-based unit tests to ensure pipeline robustness and data quality.
  • Build and maintain CI/CD pipelines using Azure DevOps (ADO) or GitLab for automated deployments.
  • Work within VS Code + Dev Containers for environment management and efficient development cycles.
  • Manage Python dependencies using Poetry.
  • Use OpenTelemetry to enable observability and performance monitoring (exposure is sufficient).
  • Work with Azure tools both via Portal and Automation Scripts.


Skills

Core (Essential)

• Python

• Pytest - Unit testing

• OpenTelemetry (exposure)

• Poetry

• VS Code, Dev Containers

• SQL Querying

• CI/CD tools

• ADO/GitLab

• Pipelines for automation

Data Engineering (Highly desirable)

• PySpark

• SparkSQL

• Data file formats like Delta, parquet

Fabric (Not absolutely required but desirable)

• Fabric Notebooks

• Data Factory pipelines

• Kusto

• Data Flow Gen 2

Generalist Azure Skills (Some generalist Azure knowledge required - flexible on actual tools) (working with these tools via the Azure Portal and via Automation)

• ADLS Gen2

• Entra

• Azure Monitor

• App Service

• Functions

• Purview

• Azure SQL


Priyanka Sharma

Senior Delivery Consultant

Office:

Email:

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