Azure Data Engineer

JR United Kingdom; Birmingham; Remote; GBP 45,000 - 70,000; Full time

Job summary

A leading company in the insurance sector seeks an Azure Data Engineer to enhance their data platform. The ideal candidate will possess strong SQL skills and experience with Azure services, ensuring data quality and integrity while supporting engineering initiatives. This role offers a remote-first working environment, making it ideal for seasoned professionals looking to make an impact.

Qualifications

• Strong SQL skills for data extraction and transformation.
• Hands-on experience with Azure services.
• Background in insurance or financial services preferred.

Responsibilities

• Develop and maintain scalable data pipelines in Azure.
• Build and optimise data integration workflows using Azure Data Factory.
• Monitor and troubleshoot performance issues in data pipelines.

Skills

SQL

Azure Data Factory

Azure Synapse Analytics

Data Warehousing

ETL/ELT Pipelines

Python

Data Integrity

Tools

Microsoft Azure

Azure Databricks

Job description

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We are a leader in the insurance sector, committed to data-driven decision making and modernising our technology landscape. As part of our continued growth, we’re seeking a skilled Azure Data Engineer to support our data platform and engineering initiatives.

Role Overview

As an Azure Data Engineer, you will be instrumental in designing, building, and optimising data pipelines and architecture in our Azure environment. This role is ideal for someone with strong SQL skills and a background in Azure data services, looking to play a key role in transforming and scaling our data operations.

Key Responsibilities

• Develop and maintain scalable data pipelines in Azure.
• Build and optimise data integration workflows using Azure Data Factory.
• Design and implement data models and data warehouses using Azure Synapse Analytics.
• Ensure data quality, integrity, and security across all processes.
• Collaborate with stakeholders to understand data requirements and deliver efficient solutions.
• Monitor and troubleshoot performance issues in data pipelines and ETL processes.
• Contribute to the continuous improvement of data engineering best practices.
• Strong experience with SQL for data extraction, transformation, and querying.
• Hands-on experience with Microsoft Azure, including Azure Data Factory, Synapse Analytics & Azure Data Lake
• Solid understanding of data warehousing concepts and ETL/ELT pipelines.
• Ability to work independently in a remote-first environment.
• Experience with Python for scripting and data manipulation.
• Familiarity with Azure Databricks.
• Background in the insurance or financial services industry.