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For Companies At a Glance
- Tasks: Lead the design and implementation of scalable data solutions for Corporate Risk and Broking.
- Company: Join a forward-thinking company focused on innovation and collaboration.
- Benefits: Enjoy 25 days annual leave, private healthcare, and hybrid working options.
- Why this job: Make a real impact by developing data pipelines and delivering actionable insights.
- Qualifications: Bachelor's degree in computer science or related field; experience in data engineering.
- Other info: Great career growth opportunities and a supportive work environment.
The predicted salary is between 48000 - 72000 £ per year.
Reporting into Tech Data Leadership, this role leads on the design and implementation of robust, scalable data solutions for Corporate Risk and Broking (CRB), ensuring technical excellence, CRB data pipelines, data quality and alignment with enterprise/R&B architecture, while delivering dashboards and actionable results to enhance risk and broking (R&B) operations. You will set business rules for data integration and quality, using Corporate Azure/Fabric tools to support innovative solutions. Collaborating with product owners and analysts, this role will ensure data flows and outputs drive CRB decision making. The role combines pipeline development and quality with dashboard delivery and results.
The Role
- Pipeline Development & Quality – Building Robust Data Infrastructure
- Build and maintain CRB specific data pipelines using Corporate Azure/Fabric tools
- Set business rules for data integration, customization, and quality/fidelity
- Support data ingestion and validation (e.g., client portfolios, market feeds)
- Manage domain MDM to ensure consistent data for CRB applications
- Collaborate with IT to align pipelines with corporate infrastructure
- Ensure high data quality (e.g., accuracy, completeness) for CRB use cases
- Leadership in relation to technical decision making and enabling a mentoring/coaching environment for junior engineering talent
- Dashboard & Results Delivery – Enabling Actionable Insights
- Develop and deliver dashboards and actionable results (e.g., risk and revenue visualizations) using Corporate tools (e.g., Tableau)
- Work with analysts and product owners to ensure outputs meet CRB needs
- Optimize data presentation for brokers and advisors, enhancing decision support
- Monitor dashboard performance, incorporating user feedback for improvements
Qualifications
- Bachelor's degree in computer science, Data Science, or related field
- Experience in data engineering, pipeline development, or ETL processes
- Proficiency in scripting (Python, SQL) and data integration tools
- Expertise with Microsoft Azure/Fabric for data storage and processing
- Knowledge of corporate risk and broking (R&B) data needs
- Experience delivering dashboards or visualizations (e.g., Tableau, Power BI)
- Skills in setting business rules for data quality and integration
- Familiarity with APIs and data architecture in cloud environments
- Ability to work in agile settings, collaborating with cross-functional teams
- Strong problem-solving skills for data pipeline and quality issues
- Proven delivery on data-driven projects
- Ability to translate technical outputs into business-relevant results
What we offer
Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.
Equal Opportunity Employer
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidate.helpdesk@wtwco.com.
Principal Engineer in London employer: Willis Towers Watson
Contact Detail:
Willis Towers Watson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This gives potential employers a taste of what you can do, especially with Azure and dashboard tools.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and pipeline development. We recommend using the STAR method to structure your answers – it helps you 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 Principal Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Principal Engineer. Highlight your experience with data pipelines, Azure/Fabric tools, and any relevant projects that showcase your skills in data quality and integration.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to enhancing our CRB operations.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in scripting languages like Python and SQL. We want to see how you’ve used these skills in real-world scenarios, especially in pipeline development and dashboard delivery.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Willis Towers Watson
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around pipeline development and data quality. Brush up on your experience with Microsoft Azure/Fabric tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Dashboard Skills
Prepare to talk about your experience with dashboard delivery, particularly using tools like Tableau or Power BI. Have examples ready that demonstrate how your dashboards have driven decision-making in previous roles.
✨Be Ready for Technical Questions
Expect questions that dive deep into scripting languages like Python and SQL. Be prepared to solve problems on the spot or explain your thought process when tackling data integration challenges.
✨Highlight Collaboration Experience
Since this role involves working closely with product owners and analysts, share specific examples of how you've successfully collaborated in cross-functional teams. Emphasise your ability to translate technical outputs into business-relevant results.
