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- Tasks: As an Azure Data Engineer, you'll manage and optimize data on the Azure platform.
- Company: Join a well-respected client known for high-quality services and innovation.
- Benefits: Enjoy a dynamic team environment with opportunities for growth and collaboration.
- Why this job: Be part of a forward-thinking team that drives informed decision-making through data.
- Qualifications: Experience with Azure and data management is essential; passion for data is a plus.
- Other info: Work closely with IT specialists to ensure seamless data integration.
The predicted salary is between 43200 - 72000 £ per year.
This is an exciting opportunity for an Azure Data Engineer to contribute to the evolution of data services with our forward-thinking and exceptional client. Our well-respected client provides a wide range of high-quality services and as their newly appointed Azure Data Engineer, you will join a dynamic and supportive Data & Analytics Team. The Data & Analytics team are integral in delivering information analysis and reporting services to the business, clients, and partners. The team manages a range of Enterprise Systems hosted on-prem and are in the process of migrating to cloud-based services. About your new position As their Azure Data Engineer, you r role will be key to supporting the business and client teams with high-quality data to drive informed decision-making. You will be responsible for managing and optimising data on an Azure platform, ensuring that data scientists and analysts have access to clean, structured, and useful data whilst working closely with other IT specialists, including application developers, to ensure that data flows seamlessly from different sources into the Azure environment. You will be part of building and maintaining secure and …
Data Engineer employer: Miles Recruitment Careers
Contact Detail:
Miles Recruitment Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with Azure services and tools. Since this role specifically requires expertise in Azure, having hands-on experience with Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics will give you a significant edge.
✨Tip Number 2
Network with professionals in the Data & Analytics field. Attend meetups or webinars focused on Azure and data engineering to connect with industry experts who can provide insights and potentially refer you to opportunities.
✨Tip Number 3
Showcase your problem-solving skills. Be prepared to discuss specific challenges you've faced in previous roles and how you overcame them, especially in relation to data management and optimization on cloud platforms.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Following relevant blogs, podcasts, or online courses can help you stay informed and demonstrate your commitment to continuous learning during interviews.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Azure Data Engineer position. Understand the key responsibilities and required skills, such as experience with Azure platforms and data management.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Focus on your expertise in data engineering, cloud services, and any specific tools or technologies mentioned in the job description.
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 how your background and skills make you a perfect fit for the Azure Data Engineer role.
Highlight Team Collaboration: Emphasize your ability to work collaboratively with IT specialists and other teams. Provide examples of past experiences where you successfully contributed to team projects, especially in data management or analytics.
How to prepare for a job interview at Miles Recruitment Careers
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure services during the interview. Be prepared to discuss specific projects where you've utilized Azure Data Factory, Azure SQL Database, or other relevant tools, and how they contributed to successful data management.
✨Demonstrate Collaboration Skills
Since the role involves working closely with data scientists, analysts, and application developers, emphasize your teamwork abilities. Share examples of how you've effectively collaborated in past projects to ensure smooth data flow and integration.
✨Prepare for Technical Questions
Expect technical questions related to data optimization and management on the Azure platform. Brush up on best practices for data structuring and cleaning, and be ready to explain how you would approach common challenges in data engineering.
✨Understand the Business Impact
Be ready to discuss how high-quality data drives informed decision-making. Think about how your work as a Data Engineer can directly impact business outcomes and be prepared to share your thoughts on this during the interview.
