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For Companies At a Glance
- Tasks: Design and optimise data pipelines in Azure, ensuring data quality and integrity.
- Company: Join a leading insurance company focused on data-driven innovation and modern technology.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- 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: Ideal for those passionate about data engineering in the insurance or financial sector.
The predicted salary is between 36000 - 60000 £ per year.
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.
Qualifications
- 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. Consider building a small project or contributing to open-source projects that utilise these tools, as hands-on experience will make you stand out during interviews.
✨Tip Number 2
Network with professionals in the insurance and financial services sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and challenges in data engineering.
✨Tip Number 3
Brush up on your SQL skills by working on real-world data problems. Websites like LeetCode or HackerRank offer SQL challenges that can help you sharpen your abilities and prepare for technical interviews.
✨Tip Number 4
Prepare to discuss your experience with data quality and security. Be ready to share specific examples of how you've ensured data integrity in past projects, as this is crucial for the role at StudySmarter.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Azure Data Engineer position. Tailor your application to highlight your relevant experience in SQL, Azure services, and data engineering.
Highlight Relevant Experience: In your CV and cover letter, emphasise your hands-on experience with Azure Data Factory, Synapse Analytics, and data warehousing concepts. Provide specific examples of projects where you developed scalable data pipelines or optimised data workflows.
Showcase Technical Skills: Make sure to detail your technical skills, particularly in SQL and Python. Mention any relevant certifications or training in Azure that demonstrate your expertise and commitment to the field.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Discuss how your background in the insurance or financial services industry aligns with their goals and how you can contribute to their data-driven initiatives.
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
Familiarise yourself with the key Azure services mentioned in the job description, such as Azure Data Factory, Synapse Analytics, and Azure Data Lake. Be ready to explain how you've used these tools in past projects and the impact they had on your work.
✨Understand Data Warehousing Concepts
Make sure you have a solid grasp of data warehousing concepts and ETL/ELT pipelines. Prepare to discuss how you've designed and implemented data models and warehouses, and be ready to provide examples of challenges you've faced and how you overcame them.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about potential performance issues in data pipelines and how you would troubleshoot them. This will demonstrate your ability to think critically and apply your knowledge in real-world situations.
