At a Glance
- Tasks: Build and optimise BI pipelines and lakehouse solutions using Microsoft Azure.
- Company: Join Mace, a leading firm in digital transformation and data engineering.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on client success and digital innovation.
- Why this job: Make an impact by developing innovative data solutions for real-world projects.
- Qualifications: 2+ years of data engineering experience with SQL and Azure expertise.
The predicted salary is between 45000 - 55000 £ per year.
Mace is looking for a data engineer in Birmingham, specializing in the Microsoft cloud data stack. This is a client-facing role where you'll support fee-earning projects and contribute to the development of digital tools and data infrastructure.
With at least 2 years of data engineering experience, you will collaborate with project teams and stakeholders to deliver successful outcomes. Knowledge of SQL, Azure, and Microsoft Fabric is essential.
Azure Data Engineer for BI Pipelines & Lakehouse in Birmingham employer: Mace
Mace is an excellent employer that fosters a collaborative and innovative work culture, particularly for data engineers in Birmingham. With a strong focus on employee growth, Mace offers opportunities to work on impactful projects while utilising cutting-edge technology in the Microsoft cloud data stack. The company values its employees by providing a supportive environment that encourages professional development and the chance to contribute to meaningful client-facing initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer for BI Pipelines & Lakehouse in Birmingham
✨Tip Number 1
Network like a pro! Reach out to professionals in the Azure and data engineering space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL and Azure knowledge, and be ready to discuss how you've tackled real-world data challenges. Practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 3
Showcase your projects! If you've worked on any BI pipelines or data infrastructure projects, make sure to highlight them in conversations. Use specific examples to demonstrate your skills and how you can add value to Mace.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows you're serious about the role and gives us a chance to connect with you more personally.
We think you need these skills to ace Azure Data Engineer for BI Pipelines & Lakehouse in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, SQL, and Microsoft Fabric. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for Mace. We love seeing genuine enthusiasm!
Showcase Your Client-Facing Skills:Since this is a client-facing role, make sure to mention any experience you have in collaborating with stakeholders or project teams. We want to know how you can contribute to successful outcomes!
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 us!
How to prepare for a job interview at Mace
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Azure, and Microsoft Fabric skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Client-Facing Skills
Since this role is client-facing, prepare examples of how you've successfully communicated with stakeholders in the past. Highlight your ability to translate technical jargon into layman's terms, making it easier for clients to understand complex data solutions.
✨Understand Mace's Projects
Do some research on Mace and their recent projects. Familiarise yourself with their approach to data engineering and think about how your experience aligns with their goals. This will show that you're genuinely interested in the company and its work.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, project expectations, and the tools they use. This not only shows your interest but also helps you gauge if the company is the right fit for you.
