At a Glance
- Tasks: Join a team transforming data into powerful insights using Azure and SQL.
- Company: Exciting client focused on innovative data solutions in Birmingham.
- Benefits: 26 days holiday, hybrid work model, and opportunities for growth.
- Why this job: Be part of a data revolution and make a real impact on decision-making.
- Qualifications: Experience with Azure, SQL, and a passion for data engineering.
- Other info: Flexible working environment with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
I am working with a client who is on a journey to transform how data powers decision-making across the business. They are building an Azure data warehouse and are looking for a skilled Data Engineer to help them take it to the next level.
Benefits:
- 26 days holiday plus
Data Engineer - Birmingham employer: Hunter Selection
Contact Detail:
Hunter Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Azure and SQL. 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 showcasing your projects, especially those involving Azure Data Warehouse and PostgreSQL. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios. Think about how you'd tackle real-world problems using Fabric and SQL. We want you to shine when it comes to technical questions!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer - Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Warehouse and SQL, especially PostgreSQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this Data Engineer position and how you can contribute to transforming data-driven decision-making. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data engineering before. We love seeing how you approach problems and come up with innovative solutions, especially in a hybrid work environment.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Hunter Selection
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Warehouse, SQL, and PostgreSQL. Brush up on your knowledge of Fabric too, as these are key components for the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data challenges in previous roles. Think about times when you improved data processes or made impactful decisions based on data analysis. This will demonstrate your ability to contribute to their transformation journey.
✨Understand Their Business Goals
Research the company and its objectives regarding data-driven decision-making. Being able to articulate how your skills can help them achieve their goals will set you apart. It shows that you’re not just interested in the job, but also in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about their current data infrastructure and future plans. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you. Plus, it opens up a dialogue that can make the interview more engaging.