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- Tasks: Design and deliver innovative data solutions while optimising SQL Server environments.
- Company: Leading data solutions company in Greater London with a focus on innovation.
- Benefits: Competitive salary of £64k+, performance bonus, pension, and private medical insurance.
- Why this job: Shape the future of data platforms and work with cutting-edge technologies.
- Qualifications: Strong SQL skills and effective communication; degree in a related field preferred.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 64000 - 89600 £ per year.
A leading data solutions company in Greater London is seeking a Senior Data Engineer to shape and deliver its evolving data platform. The role involves designing solutions for business goals, migrating to Microsoft Fabric, and optimizing SQL Server environments.
Ideal candidates will have:
- Strong SQL skills
- Effective communication abilities
- A degree in a related field
The position offers a salary of £64k+, along with benefits such as a performance bonus, pension, and private medical insurance.
Senior Data Engineer — SQL DW, Fabric & AI employer: VC Talent
Contact Detail:
VC Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — SQL DW, Fabric & AI
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field 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 dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects or any data solutions you've designed. This is a great way for us to demonstrate our expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you’d tackle real-world problems. We want to show that we can not only talk the talk but also walk the walk when it comes to optimising SQL Server environments.
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace Senior Data Engineer — SQL DW, Fabric & AI
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your strong SQL skills in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to tailor your application to the job description. Mention how your experience aligns with designing solutions and migrating to Microsoft Fabric. We love seeing candidates who take the time to connect their background with our needs.
Communicate Clearly: Effective communication is key for us. When writing your application, be clear and concise. Use straightforward language to explain your experience and how you can contribute to our evolving data platform.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at VC Talent
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries, data manipulation, and optimisation techniques. Practising real-world scenarios can help you demonstrate your expertise effectively.
✨Understand Microsoft Fabric
Since the role involves migrating to Microsoft Fabric, it’s crucial to familiarise yourself with its features and benefits. Research how it integrates with SQL Server and be ready to share your thoughts on how you would approach the migration process.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. Think of examples where you've successfully communicated complex ideas in the past.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your analytical thinking and how you approach problem-solving, especially in relation to data engineering and optimisation.