Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise data pipelines in Azure, ensuring data quality and security.
- Company: Join a leading insurance company focused on data-driven innovation.
- Benefits: Enjoy remote work flexibility and a competitive salary of up to £60,000.
- Why this job: Be part of a transformative team that values your skills and promotes continuous improvement.
- Qualifications: Strong SQL skills and experience with Azure services are essential; Python knowledge is a plus.
- Other info: This role is perfect for those looking to grow in a dynamic, remote-first environment.
The predicted salary is between 43200 - 72000 £ per year.
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.
Requirements
- 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.
Azure Data Engineer employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Familiarise yourself with Azure Data Factory and Synapse Analytics. Since these are key tools for the role, having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the insurance sector who work with data engineering. Engaging with them on platforms like LinkedIn can provide insights into the industry and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with SQL and data pipelines in detail. Be ready to share specific examples of how you've optimised data processes in previous roles, as this will demonstrate your practical knowledge.
✨Tip Number 4
Stay updated on the latest trends in data engineering and Azure services. Being knowledgeable about recent developments can help you stand out in interviews and show your commitment to continuous learning.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure services, SQL skills, and any relevant projects. Use keywords from the job description to demonstrate that you meet the specific requirements of the Azure Data Engineer role.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're a great fit for the position. Mention your experience with data pipelines, Azure Data Factory, and any relevant industry background, such as in insurance or financial services.
Showcase Relevant Projects: If you have worked on specific projects involving Azure Data Engineering, include them in your application. Describe your role, the technologies used, and the impact of your work to give the employer insight into your capabilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your SQL Skills
As an Azure Data Engineer, strong SQL skills are crucial. Be prepared to discuss your experience with SQL in detail, including specific projects where you've used it for data extraction, transformation, and querying.
✨Demonstrate Azure Expertise
Familiarity with Azure services is key for this role. Highlight your hands-on experience with Azure Data Factory, Synapse Analytics, and Azure Data Lake during the interview, and be ready to explain how you've used these tools in past projects.
✨Discuss Data Pipeline Development
The role involves developing scalable data pipelines. Prepare to talk about your experience in building and optimising data integration workflows, and provide examples of how you've tackled performance issues in previous roles.
✨Emphasise Collaboration Skills
Collaboration with stakeholders is essential. Be ready to share examples of how you've worked with different teams to understand data requirements and deliver effective solutions, especially in a remote environment.
