Azure Data Engineer

JR United Kingdom; Crawley; Remote; GBP 50,000 - 60,000; Full time

Job summary

A leading company in the insurance sector is seeking an Azure Data Engineer to support their data platform initiatives. This role involves designing and building data pipelines and ensuring data quality within their Azure environment. Ideal for candidates with strong SQL skills and experience in Azure data services.

Qualifications

• Strong experience with SQL for data extraction and transformation.
• Hands-on experience with Microsoft Azure tools.
• Background in the insurance or financial services industry is a plus.

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

Data integration workflows

Data quality assurance

Azure Data Factory

Azure Synapse Analytics

Data warehousing concepts

Python

Azure Databricks

Job description

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Azure Data Engineer, crawley, west sussex

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Client:

Accelero

Location:

crawley, west sussex, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Remote (UK-based)

Up to £60,000 per annum

About the Company

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.