Azure Data Engineer

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

Job summary

A leading company in the insurance sector is seeking an Azure Data Engineer to enhance its data platform and engineering initiatives. This remote role involves designing and optimizing data solutions in Azure, with a focus on SQL and data pipeline development. Ideal candidates will have strong technical skills, experience in data warehousing, and a proven background in the financial services industry.

Qualifications

• Strong SQL skills and experience with Azure data services essential.
• Background in the insurance or financial services industry preferred.
• Ability to work independently in a remote environment.

Responsibilities

• Develop and maintain scalable data pipelines in Azure.
• Design and implement data models and data warehouses using Azure Synapse Analytics.
• Ensure data quality and security across all processes.

Skills

SQL

Data Integration

Data Quality

ETL

Azure Data Factory

Python

Tools

Azure Data Lake

Azure Synapse Analytics

Azure Databricks

Job description

Social network you want to login/join with:

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Client:

Accelero

Location:

portsmouth, hampshire, 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.