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- Tasks: Build and maintain a modern data ecosystem using Azure and Power BI.
- Company: Leading design company in Nottingham with a focus on innovation.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Enjoy occasional office visits in a collaborative environment.
- Why this job: Join a dynamic team and make an impact through data-driven decisions.
- Qualifications: Strong SQL skills and experience in ETL/ELT pipeline development required.
The predicted salary is between 45000 - 55000 £ per year.
A leading design company in Nottingham is seeking a skilled Data Engineer to build and maintain a modern data ecosystem utilizing Azure, Microsoft Fabric, SQL, and Power BI. You will design robust data pipelines and engineer reliable datasets to support analytics and data-driven decisions across the organization.
Ideal candidates will have:
- Strong SQL skills
- Experience in ETL/ELT pipeline development
- Proficiency in data governance practices
The position allows for remote work with occasional office visits.
Azure Data Engineer | Lakehouse & Power BI Pipelines in Nottingham employer: Paul Smith
Contact Detail:
Paul Smith Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer | Lakehouse & Power BI Pipelines in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Azure Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects, ETL/ELT pipelines, and any Power BI dashboards you've built. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around Azure, data governance, and pipeline development. We recommend practicing common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly. Let’s get you that job!
We think you need these skills to ace Azure Data Engineer | Lakehouse & Power BI Pipelines in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, SQL, and data pipelines. We want to see how your skills match the job description, 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 a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve ETL/ELT processes or Power BI.
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 from our team!
How to prepare for a job interview at Paul Smith
✨Know Your Tech Inside Out
Make sure you brush up on your Azure, SQL, and Power BI skills before the interview. Be ready to discuss specific projects where you've built data pipelines or worked with ETL/ELT processes. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data governance or pipeline development. Think about a time when you had to troubleshoot an issue or optimise a process. This will demonstrate your analytical thinking and ability to handle real-world problems.
✨Understand the Company’s Needs
Research the design company and its data ecosystem. Familiarise yourself with their projects and how they might use data analytics. Tailoring your answers to align with their goals will show that you're genuinely interested and can contribute to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data challenges they face, or their future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.