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- Tasks: Design and deliver scalable data products while mentoring junior engineers.
- Company: Leading UK construction firm with a focus on innovation.
- Benefits: Flexible working arrangements and an inclusive environment for growth.
- Why this job: Join a dynamic team and make a real impact in data engineering.
- Qualifications: Strong background in Python, SQL, and experience with Microsoft Fabric.
- Other info: Collaborative culture that promotes professional development.
The predicted salary is between 48000 - 72000 £ per year.
A leading construction firm based in the UK is seeking a Senior Data Engineer to join their Data & Analytics team. The successful candidate will design and deliver scalable data products and pipelines while mentoring junior engineers and promoting a culture of innovation.
A strong background in Python, SQL, and experience with Microsoft Fabric are essential. This role supports flexible working arrangements and offers an inclusive environment for professional growth and collaboration.
Senior Data Engineer — Build Scalable Data Platform Remote employer: Willmott Dixon
Contact Detail:
Willmott Dixon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Build Scalable Data Platform Remote
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous data projects, especially those involving Python and SQL. This will help us demonstrate our expertise and creativity during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help us refine our answers and boost our confidence when discussing our experience with scalable data products.
✨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 Senior Data Engineer — Build Scalable Data Platform Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Microsoft Fabric. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Engineer position and how you can contribute to our Data & Analytics team. Let your personality come through!
Showcase Your Mentoring Skills: Since mentoring junior engineers is part of the gig, share any experiences you have in guiding others. We love seeing candidates who are passionate about fostering a culture of innovation and collaboration.
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’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Willmott Dixon
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in building scalable data products. Familiarity with Microsoft Fabric will definitely give you an edge!
✨Showcase Your Mentoring Skills
Since this role involves mentoring junior engineers, think of examples where you've successfully guided others. Prepare to share specific instances that highlight your leadership style and how you foster a culture of innovation within a team.
✨Understand the Company Culture
Research the construction firm’s values and mission. Be prepared to discuss how your personal values align with theirs, especially regarding collaboration and inclusivity. This shows that you're not just a fit for the role but also for the company.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. Inquire about their current data challenges or how they envision the Data & Analytics team evolving. This demonstrates your genuine interest in the role and the company.
