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: Permanent full-time role with competitive salary and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to influence strategic data initiatives.
- Why this job: Make a real impact by shaping the future of data usage in the insurance industry.
- Qualifications: 5+ years in Data Engineering, strong Python, SQL, and cloud experience 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
- 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 employer: CFC
CFC is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a leader in data-driven insurance, we provide our employees with unique opportunities for professional growth and development, alongside a culture that values creativity and strategic thinking. Join us to be part of a pioneering team that is shaping the future of the insurance industry through cutting-edge data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨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 common data engineering questions and scenarios. Think about how you can apply your experience to the specific needs of the company, especially around building data platforms and pipelines.
✨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, we love seeing candidates who are proactive and engaged with our mission.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Python, Spark, and SQL, and don’t forget to mention any cloud provider experience you have. We want to see how your skills align with 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 you can contribute to our mission at CFC. Be sure to mention specific projects or experiences that relate to the job description.
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.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at CFC
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python, Spark, and SQL. Be ready to discuss specific projects where you've analysed, cleaned, or migrated data. This will show that you not only understand the technical side but can also apply it practically.
✨Understand the Business Context
Familiarise yourself with CFC's mission to lead in data-driven insurance. Think about how your role as a Lead Data Engineer can contribute to building their data platform. Prepare examples of how you've influenced data strategies in previous roles to demonstrate your strategic thinking.
✨Prepare for Stakeholder Engagement
Since you'll be working with multiple stakeholders, think about how you can effectively communicate technical concepts to non-technical audiences. Prepare scenarios where you've successfully collaborated with different teams to meet data needs, showcasing your ability to bridge gaps.
✨Showcase Your Cloud Experience
CFC is looking for someone with experience in Azure or other cloud providers. Be ready to discuss your hands-on experience with cloud technologies and how you've used them to manage data platforms. Highlight any specific challenges you've faced and how you overcame them.
