Senior Azure Developer

Profectus Recruitment; Reading; On-site; GBP 70,000 - 95,000; Full time

Job summary

Profectus Recruitment is seeking a Senior Data Engineer/Developer with strong Python experience to join our Enterprise Data team in Reading. You will build and maintain Python-based data pipelines and ETL/ELT integrations, design scalable data solutions on Azure, and work with APIs and multiple data sources to support BI and analytics.

You'll collaborate with architects, analysts and other technical teams while ensuring security, governance and compliance across production pipelines.

Qualifications

• Strong commercial Python development experience, ideally within Data Engineering.
• Strong SQL and experience building data pipelines / ETL / integrations.
• Good experience with Microsoft Azure.
• Experience working with APIs, JSON/XML and multiple data sources.
• Understanding of batch, scheduled and/or real-time data processing.
• Experience with Git and DevOps practices.
• Strong problem-solving and communication skills.

Responsibilities

• Build and maintain Python-based data pipelines, ETL/ELT and integrations.
• Design scalable data solutions using Azure and cloud technologies.
• Develop integrations using APIs and structured/semi-structured data.
• Build automated pipelines and orchestration workflows across batch and real-time processes.
• Transform, cleanse and enrich data from multiple sources.
• Maintain and troubleshoot production data pipelines.
• Use Git, DevOps and modern development practices.
• Work with architects, analysts and other technical teams to deliver data solutions.

Skills

Python

SQL

Azure

APIs

Git

DevOps

Tools

Azure Data Factory

Databricks

Azure Synapse

Job description

Would you like to work for a company making a real difference in the automotive industry? We're looking for a Senior Data Engineer / Developer with strong Python experience to join our Enterprise Data team.

You'll develop and maintain scalable data integrations, pipelines and cloud solutions supporting BI, research and wider business analytics.

What you'll be doing

• Build and maintain Python-based data pipelines, ETL/ELT and integrations
• Design scalable data solutions using Azure and cloud technologies
• Develop integrations using APIs and structured/semi-structured data
• Build automated pipelines and orchestration workflows across batch and real-time processes
• Transform, cleanse and enrich data from multiple sources
• Maintain and troubleshoot production data pipelines
• Use Git, DevOps and modern development practices
• Work with architects, analysts and other technical teams to deliver data solutions
• Ensure solutions meet security, governance and compliance requirements

What we're looking for

• Strong commercial Python development experience, ideally within Data Engineering
• Strong SQL and experience building data pipelines / ETL / integrations
• Good experience with Microsoft Azure
• Experience working with APIs, JSON/XML and multiple data sources
• Understanding of batch, scheduled and/or real-time data processing
• Experience with Git and DevOps practices
• Strong problem-solving and communication skills

Experience with technologies such as Azure Data Factory, Databricks, Functions, Logic Apps, Synapse, Azure SQL or Service Bus would be beneficial.

You don't need experience with every Azure service. We're particularly interested in strong Python/Data Engineering professionals with a solid Azure foundation and the ability to learn and work across the wider platform.

• Databricks / PySpark
• Infrastructure as Code / DevOps automation
• AI/ML data integration
• Automotive or insurance industry experience