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- Tasks: Build data pipelines and shape data warehouses to enhance business decisions.
- Company: Leading home appliance company in the UK with a focus on innovation.
- Benefits: Salary between £50,000 – £60,000, flexible hybrid working, and private medical insurance.
- Why this job: Join a dynamic team and make a real impact on data processes.
- Qualifications: Experience in Azure, SQL, and operational data handling required.
- Other info: Great opportunities for professional development and career growth.
The predicted salary is between 50000 - 60000 £ per year.
A leading home appliance company in the UK is seeking a Data Engineer to improve their data processes. This role involves building data pipelines, shaping data warehouses, and ensuring data accuracy to aid business decisions.
Ideal candidates will have experience in Azure, SQL, and operational data handling.
The position offers a salary between £50,000 – £60,000, along with flexible hybrid working and numerous benefits including private medical insurance and professional development opportunities.
Azure Data Engineer: Build Trusted Pipelines & AI-Ready in Upton employer: Zest Plan
Contact Detail:
Zest Plan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer: Build Trusted Pipelines & AI-Ready in Upton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Azure projects and data pipelines. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and Azure. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨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 about their job search!
We think you need these skills to ace Azure Data Engineer: Build Trusted Pipelines & AI-Ready in Upton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, SQL, and data handling. We want to see how your skills align with the role of a Data Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about improving data processes and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled data challenges or improved processes. We’re looking for candidates who can think critically and innovate, so let us know how you’ve made an impact in previous roles.
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, it shows you’re keen to join our team!
How to prepare for a job interview at Zest Plan
✨Know Your Azure Inside Out
Make sure you brush up on your Azure skills before the interview. Familiarise yourself with Azure Data Factory, Azure SQL Database, and any relevant tools that might come up. Being able to discuss your hands-on experience with these technologies will show you're ready to hit the ground running.
✨Showcase Your Data Pipeline Experience
Prepare specific examples of data pipelines you've built in the past. Be ready to explain the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to improve data processes, which is key for this role.
✨Understand the Business Impact
Think about how your work as a Data Engineer can influence business decisions. Be prepared to discuss how accurate data can lead to better outcomes for the company. This shows that you’re not just technically skilled but also understand the bigger picture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current data challenges or how they measure success in their data projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
