At a Glance
- Tasks: Lead the development of a cutting-edge data platform for innovative insurance solutions.
- Company: Join a pioneering company in automated cyber insurance and data-driven strategies.
- Benefits: Enjoy a permanent full-time role with competitive salary and growth opportunities.
- Other info: Collaborative environment with opportunities to influence strategic data initiatives.
- Why this job: Make a real impact on the future of data usage in the insurance industry.
- Qualifications: 5+ years in Data Engineering, strong Python, Spark, and SQL skills required.
The predicted salary is between 70000 - 90000 £ per year.
CFC is on a journey to be a leader in data driven insurance. We are a leader in automated cyber insurance and will use data more and more as the bedrock of our business. In order to support this, we are building a single data platform which will enable us to collect, share and use data across our business and with many user communities. This data platform will initially be used to support MDM requirements and over time will expand to provide core capability for leveraging data across our organisation. In order to support this initiative, we are looking to hire a Data Engineer who will play a significant role in delivering this capability.
Beyond the immediate use cases around the data platform, there are ample opportunities to influence the data approach to CFC and pioneer new initiatives to support the company's goals. We expect this role to be a mixture of hands-on development work and strategic thinking.
About the role
What you’ll be doing:
- Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform
- Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines
- Creating standards and patterns to ensure that future development adheres to a high-quality fit for purpose framework
- Defining features and capabilities to move the dial on data usage within the insurance industry
- Providing governance and consultancy to users of the data platform and data related questions
About you
- 5+ years working in a Data Engineering role
- Knowledge of Python and Spark
- Strong SQL knowledge
- Experience analyzing, cleaning, migrating and modeling data
- Experience using Azure or another cloud provider (AWS, GCP)
Lead Data Engineer in London employer: CFC
CFC is an excellent employer, offering a dynamic work culture in the heart of London where collaboration and innovation thrive. Employees benefit from comprehensive training and development opportunities, including support for CII qualifications, ensuring personal and professional growth. With a commitment to exceptional service and a focus on employee well-being, CFC provides a rewarding environment for those looking to make a meaningful impact in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, Spark, and SQL. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. It shows initiative and enthusiasm, which we really value.
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with Python, Spark, and SQL, as well as any cloud provider expertise you have. We want to see how you can contribute to our data-driven journey!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our goals at CFC. Don’t forget to mention specific projects or achievements that showcase your skills.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think strategically while also getting their hands dirty with development work. Let us know how you’ve made an impact!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at CFC
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data engineering concepts, especially around Python, Spark, and SQL. Be ready to discuss specific projects where you've analysed, cleaned, or migrated data, as this will show your hands-on experience.
✨Understand the Company’s Data Vision
Familiarise yourself with CFC's journey towards becoming a leader in data-driven insurance. Think about how your skills can contribute to building their data platform and be prepared to share ideas on how to leverage data within the insurance industry.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data pipelines. Practise explaining your thought process clearly, as this will demonstrate your strategic thinking and ability to communicate complex ideas effectively.
✨Engage with Stakeholders
Since the role involves working with multiple stakeholders, think about how you would approach gathering data needs from different communities. Prepare examples of how you've successfully collaborated with others in past roles to ensure you can showcase your interpersonal skills.
