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- Tasks: Design and implement data solutions using Azure for Corporate Risk and Broking.
- Company: Leading risk management firm with a focus on innovation.
- Benefits: Comprehensive benefits package and hybrid working options.
- Why this job: Make an impact by delivering actionable insights through robust data pipelines.
- Qualifications: Degree in computer science or Data Science, with data engineering experience.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading risk management firm is seeking a skilled Data Engineer to design and implement robust data solutions for Corporate Risk and Broking. This role involves building data pipelines using Azure, ensuring data quality, and delivering actionable dashboards for decision-making.
Applicants should possess a degree in computer science or Data Science, and have experience in data engineering and pipeline development. The role offers a comprehensive benefits package and hybrid working options.
Lead Data Platform Engineer - Azure Pipelines & Dashboards in London employer: Willis Towers Watson
Contact Detail:
Willis Towers Watson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer - Azure Pipelines & Dashboards in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Azure and data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and dashboards. Use platforms like GitHub to share your projects, and make sure to highlight any experience with Azure. This will give you an edge when we’re looking for candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with data quality and pipeline development. We love seeing candidates who can articulate their thought process and problem-solving abilities.
✨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, it shows us you’re genuinely interested in joining our team.
We think you need these skills to ace Lead Data Platform Engineer - Azure Pipelines & Dashboards in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and pipeline development. We want to see how your skills align with the role of Lead Data Platform Engineer, so don’t be shy about showcasing your Azure expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or creating dashboards, we want to know what you've done and how it relates to the job.
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 our team!
How to prepare for a job interview at Willis Towers Watson
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around pipelines and dashboards. Be ready to discuss specific projects where you've implemented Azure solutions, as this will show your hands-on experience and understanding of the platform.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience in data engineering and pipeline development. Have examples ready that highlight how you've ensured data quality and delivered actionable insights through dashboards. This will demonstrate your ability to meet the firm's needs.
✨Understand Corporate Risk and Broking
Familiarise yourself with the basics of corporate risk management and broking. Being able to speak intelligently about how data solutions can impact decision-making in this field will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they envision the role contributing to their goals. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
