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 experienced Data Engineer with a strong foundation in Python, PySpark, and modern data platforms. This role demands hands-on experience with CI/CD automation, unit testing, and working within Azure environments — both through the Azure Portal and automated scripts. Exposure to data pipelines, big data file formats, and Azure-native services is 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: 02033759240

Email: [email protected]