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- Tasks: Lead the design and development of enterprise-grade data solutions using Azure services.
- Company: A leading global technology firm in the UK with a focus on innovation.
- Benefits: Competitive compensation, collaborative environment, and opportunities for professional growth.
- Why this job: Make an impact by building scalable data solutions and working with cutting-edge technology.
- Qualifications: Strong expertise in Azure Data services and experience in data ingestion frameworks.
- Other info: Join a dynamic team and enhance your career in a thriving tech environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading global technology firm in the UK is seeking an Azure Data Engineer to lead the design and development of enterprise-grade data solutions. The successful candidate will possess strong expertise in Azure Data services including Azure Data Factory and Databricks, and have proven experience in building scalable data ingestion frameworks. This role offers competitive compensation and involves collaborating with multidisciplinary teams to deliver high-quality analytics platforms.
Azure Data Engineer Lead - Lakehouse & Power BI Analytics in Leeds employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer Lead - Lakehouse & Power BI Analytics in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure or data engineering. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Data Factory and Databricks. This will not only impress potential employers but also give you a chance to discuss your hands-on experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of scalable data ingestion frameworks. We recommend practising common interview questions and scenarios related to Azure services to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Azure Data Engineer Lead - Lakehouse & Power BI Analytics in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data services, especially Azure Data Factory and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you the perfect fit for leading our analytics platforms. Keep it engaging and personal!
Showcase Your Teamwork Skills: Since this role involves collaborating with multidisciplinary teams, make sure to mention any past experiences where you’ve successfully worked in a team setting. We love seeing how you can contribute to a collaborative environment!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Infosys Limited
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure Data services, especially Azure Data Factory and Databricks. Be ready to discuss specific projects where you've implemented these technologies, as this will show your hands-on experience and expertise.
✨Showcase Your Leadership Skills
As a lead, you'll need to demonstrate your ability to guide teams. Prepare examples of how you've successfully led projects or collaborated with multidisciplinary teams in the past. Highlight your communication skills and how you motivate others to achieve common goals.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and understanding of scalable data ingestion frameworks. Practice explaining complex concepts in simple terms, as this will help you convey your knowledge effectively during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data challenges or future projects involving Power BI Analytics. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
