Azure Data Engineer

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

Job summary

A leading company in the insurance sector is seeking an Azure Data Engineer to design, build and optimize data pipelines within Azure. This role requires strong SQL skills, hands-on experience with Azure services, and an understanding of data warehousing principles. The successful candidate will collaborate with stakeholders to enhance data operations and ensure data integrity.

Qualifications

• Strong SQL skills and experience in data engineering.
• Hands-on experience with Azure data services and tools.
• Background in the insurance or financial services industry advantageous.

Responsibilities

• Develop and maintain scalable data pipelines in Azure.
• Design and implement data models and warehouses using Azure Synapse Analytics.
• Monitor data pipelines and troubleshoot performance issues.

Skills

SQL

Data Engineering

Azure Data Factory

Azure Synapse Analytics

Data Warehousing

Python

Azure Databricks

Job description

Social network you want to login/join with:

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.