Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise data pipelines using Microsoft Fabric and Azure tools.
- Company: Willis Towers Watson, a leader in innovative data solutions.
- Benefits: Competitive salary, hybrid work options, and comprehensive health benefits.
- Other info: Great opportunities for professional growth in a supportive environment.
- Why this job: Join a dynamic team and work with cutting-edge AI-driven technologies.
- Qualifications: Strong Python skills and experience with AI tools required.
The predicted salary is between 50000 - 65000 £ per year.
Willis Towers Watson is seeking a Data Engineer in Greater London to work with innovative data solutions, focusing on designing and optimizing data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory.
Candidates should have strong Python skills, experience with AI tools, and a collaborative mindset.
The position includes a competitive benefits package, hybrid working options, and a comprehensive health and wellbeing offering, allowing employees to thrive both professionally and personally.
Data Engineer: AI-Driven Pipelines on Azure Fabric in London employer: Willis Towers Watson
Contact Detail:
Willis Towers Watson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: AI-Driven Pipelines on Azure Fabric in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Willis Towers Watson. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. This is your chance to demonstrate your Python prowess and how you’ve tackled real-world problems.
✨Tip Number 3
Prepare for the interview by brushing up on Azure tools. Make sure you can discuss your experience with Microsoft Fabric, Azure Synapse, and Azure Data Factory confidently. We want you to shine!
✨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 Data Engineer: AI-Driven Pipelines on Azure Fabric in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We love seeing how you've used Python in past projects, especially in relation to data pipelines and AI tools.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We want to see how you can contribute to our innovative data solutions.
Collaborative Mindset is Key: Since we value teamwork, share examples of how you've worked collaboratively in previous roles. This will show us that you're a great fit for our culture at StudySmarter.
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!
How to prepare for a job interview at Willis Towers Watson
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft Fabric, Azure Synapse, and Azure Data Factory. Brush up on your Python skills too, as they’ll likely ask you to demonstrate your coding abilities or solve a problem on the spot.
✨Showcase Your AI Experience
Since the role focuses on AI-driven pipelines, be prepared to discuss any relevant projects or tools you've used. Highlight how you've implemented AI solutions in past roles and the impact they had on data processing.
✨Emphasise Collaboration
Willis Towers Watson values a collaborative mindset, so think of examples where you’ve worked effectively in a team. Be ready to share how you’ve contributed to group projects and resolved conflicts.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they leverage Azure technologies. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.