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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 UK-based and requires an EU work permit.
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.
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 interviews.
✨Tip Number 2
Network with professionals in the insurance and financial services sectors. Engaging with industry-specific groups on platforms like LinkedIn can help you gain insights and potentially connect with someone at Accelero.
✨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 technologies. Being knowledgeable about recent advancements can help you stand out as a candidate who is proactive and passionate about the field.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Azure Data Engineer position. Familiarise yourself with key technologies mentioned in the job description, such as Azure Data Factory and Synapse Analytics.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your SQL expertise, Azure experience, and any previous work in data engineering or the insurance sector.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's goals. Mention specific projects or experiences that demonstrate your ability to develop scalable data pipelines and optimise data workflows.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical 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 and transformation.
✨Demonstrate Azure Expertise
Familiarity with Azure services is key for this role. Highlight your hands-on experience with Azure Data Factory, Synapse Analytics, and Data Lake during the interview, and be ready to explain how you've used these tools in past projects.
✨Discuss Data Pipeline Optimisation
The role involves developing and maintaining scalable data pipelines. Prepare examples of how you've built or optimised data integration workflows, and be ready to discuss any challenges you faced and how you overcame them.
✨Emphasise Collaboration Skills
Collaboration with stakeholders is essential. Be ready to share experiences where you've worked with others to understand data requirements and deliver solutions, showcasing your ability to communicate effectively in a remote environment.
