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- Tasks: Join our team as a Contract Senior Data Engineer, focusing on Azure projects.
- Company: We are a leading tech firm known for innovation and excellence in data solutions.
- Benefits: Enjoy flexible working hours and competitive pay, with opportunities for remote work.
- Why this job: Be part of a dynamic team that values creativity and offers impactful projects.
- Qualifications: Experience with Azure and data engineering is essential; strong problem-solving skills are a plus.
- Other info: This is a contract position with potential for extension based on performance.
The predicted salary is between 48000 - 72000 £ per year.
Contract Senior Data Engineer / Azure /
Contract Senior Data Engineer employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Azure services, especially those related to data engineering like Azure Data Factory and Azure Databricks. Having hands-on experience or projects showcasing these tools can really set you apart.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who work with Azure. Attend meetups or webinars to connect with potential colleagues and learn about industry trends.
✨Tip Number 3
Stay updated on the latest developments in data engineering and Azure technologies. Follow relevant blogs, podcasts, and forums to demonstrate your passion and knowledge during interviews.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios. Be ready to discuss your previous projects and how you've solved complex data challenges using Azure.
We think you need these skills to ace Contract Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Contract Senior Data Engineer, particularly in relation to Azure. Highlight your experience with data engineering and cloud technologies in your application.
Tailor Your CV: Make sure your CV reflects your relevant skills and experiences. Emphasise your expertise in data engineering, Azure services, and any specific projects that showcase your capabilities in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job description. Mention specific Azure tools or methodologies you have used and how they relate to the company's needs.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application demonstrates attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure during the interview. Be prepared to discuss specific projects where you've utilised Azure services, such as Azure Data Factory or Azure Databricks, and how they contributed to the success of your data engineering tasks.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Prepare to walk through your thought process when tackling data-related challenges, and consider using the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with Data Engineering Best Practices
Brush up on best practices in data engineering, including data modelling, ETL processes, and data warehousing concepts. Being able to discuss these topics confidently will show that you are well-versed in the field and can contribute effectively from day one.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture, team dynamics, and future projects. This not only demonstrates your interest in the role but also helps you gauge if the company is the right fit for you.
