Azure Data Engineer

Accelero; United Kingdom; Remote; GBP 60,000 - 70,000; Full time

Job summary

Accelero is seeking a skilled Azure Data Engineer to support data platform initiatives. You will design and optimise data pipelines and architecture in Azure, ensuring data quality and collaborating with stakeholders for efficient solutions. This full-time remote role is ideal for those with a strong background in SQL and Azure services.

Qualifications

• Strong SQL skills and experience in data extraction.
• Hands-on experience with Microsoft Azure services.
• Ability to work independently in a remote environment.

Responsibilities

• Develop and maintain scalable data pipelines in Azure.
• Build and optimise data integration workflows.
• Ensure data quality, integrity, and security.

Skills

SQL

Azure Data Factory

Data Warehousing

Python

Tools

Azure Data Lake

Azure Synapse Analytics

Azure Databricks

Job description

This range is provided by Accelero. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Accelero

Co-Founder & Director at Accelero - Data | Product

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Insurance and Technology, Information and Media

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