At a Glance
- Tasks: Join us as an Azure Data Factory Engineer, working on data requirements for our Datawarehouse.
- Company: We're a top-tier international professional services firm with a stellar reputation.
- Benefits: Enjoy hybrid working, earning up to £60,000, and a supportive team culture.
- Why this job: Be part of innovative projects and collaborate with talented teams in a dynamic environment.
- Qualifications: Experience with Azure Data Factory, PowerBI, and SSRS is essential.
- Other info: We're award-winning for our client service and innovation in recruitment.
The predicted salary is between 36000 - 60000 £ per year.
My client, an international professional services business, is looking to hire an Azure Data Factory Engineer. This is a permanent position, based in Cardiff, offering up to £60,000 - Hybrid working (2-3 days in office).
You will collaborate closely with the business and tech teams to create and document the requirements for the data coming into the Datawarehouse.
The successful applicant will have proven experience with Azure Data Factory, PowerBI and SSRS.
Locations
Azure Data Factory Engineer – Cardiff employer: Kite Consulting Group
Contact Detail:
Kite Consulting Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Factory Engineer – Cardiff
✨Tip Number 1
Familiarise yourself with the latest features and updates in Azure Data Factory. Being knowledgeable about recent advancements can help you stand out during discussions with the hiring team.
✨Tip Number 2
Network with professionals in the field by attending local meetups or online webinars focused on Azure technologies. This can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've successfully implemented data solutions using Azure Data Factory, PowerBI, and SSRS. Concrete examples will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Research the company culture and values of the client. Understanding their focus on customer value and integrity will help you align your responses during interviews and show that you're a good fit for their team.
We think you need these skills to ace Azure Data Factory Engineer – Cardiff
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and required skills for the Azure Data Factory Engineer position. Tailor your application to highlight your relevant experience with Azure Data Factory, PowerBI, and SSRS.
Craft a Strong CV: Ensure your CV is up-to-date and clearly outlines your technical skills and previous experience related to data engineering. Use specific examples to demonstrate your expertise in Azure Data Factory and any projects you've worked on.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your values align with their focus on integrity and customer value, and provide examples of how you have successfully tackled challenges in previous roles.
Proofread Your Application: Before submitting your application, thoroughly proofread all documents for spelling and 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 Kite Consulting Group
✨Showcase Your Technical Skills
Make sure to highlight your experience with Azure Data Factory, PowerBI, and SSRS during the interview. Be prepared to discuss specific projects where you've successfully implemented these tools, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Since the role involves collaboration with both business and tech teams, it's crucial to understand how data impacts business decisions. Research the company’s services and think about how your role as an Azure Data Factory Engineer can add value to their operations.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples from your past experiences where you faced challenges in data management or integration and how you overcame them. This will show your ability to handle real-world situations.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the types of projects you would be working on, and how success is measured in this role. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.