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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, plus data engineering experience.
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 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
✨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 opportunities 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 don’t forget to highlight your experience with Azure.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising how you’d explain your past projects and the impact they had on decision-making.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Platform Engineer - Azure Pipelines & Dashboards
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and data engineering. 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 passionate about data solutions and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills, especially in pipeline development and dashboard creation. We’re looking for someone who can hit the ground running, so let us know what tools and technologies you’re familiar with.
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 the role. Plus, it’s super easy – just follow the prompts!
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 your work. This will demonstrate your capability to meet the firm's needs.
✨Understand the Business Context
Research the risk management industry and understand how data solutions impact decision-making. Being able to relate your technical skills to real-world applications in Corporate Risk and Broking will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they leverage Azure for their operations. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
