At a Glance
- Tasks: Lead the development and management of data engineering solutions for a top insurance company.
- Company: Join a prominent insurance organisation focused on innovative data solutions.
- Benefits: Enjoy a flexible work environment with potential for contract extension.
- Why this job: Be at the forefront of data engineering, collaborating with senior teams to drive impactful solutions.
- Qualifications: Extensive experience in data engineering, especially within the insurance sector, and cloud platform certifications.
- Other info: This role is inside IR35, ensuring compliance with tax regulations.
The predicted salary is between 54000 - 84000 £ per year.
The Head of Data Engineering will lead the technical development and operational management of data engineering solutions for a prominent insurance organization. The client requires a data engineering expert capable of managing complex environments and collaborating with senior technical teams. This role falls inside IR35.
Responsibilities:
- Design, develop, and manage data pipelines, warehouses, and data lakes.
- Optimize and maintain enterprise data engineering platforms.
- Lead strategic management of data engineering solutions across cloud and hybrid environments.
- Collaborate closely with Data Architects, CIO teams, and senior stakeholders.
- Continuously enhance the efficiency, reliability, and scalability of data engineering landscapes.
Candidate Requirements / Profile:
- Extensive data engineering experience within insurance sectors.
- Proficiency with AWS, Azure, GCP, and hybrid data environments.
- Relevant certifications in cloud platforms or big data technologies.
- Demonstrated ability to strategically own and enhance enterprise data platforms.
Contract duration: Initial 6-month term, with likely extension.
Contact Detail:
JCW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Make sure to showcase your extensive experience in data engineering, particularly within the insurance sector. Highlight specific projects where you've successfully managed complex environments and collaborated with senior technical teams.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in cloud platforms like AWS, Azure, and GCP. Being able to discuss recent developments or innovations in these areas during your conversations can set you apart from other candidates.
✨Tip Number 3
Prepare to demonstrate your strategic thinking by discussing how you've previously optimised and maintained enterprise data engineering platforms. Be ready to share examples of how your leadership has enhanced efficiency and scalability.
✨Tip Number 4
Network with professionals in the insurance and data engineering fields. Engaging with industry peers can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive data engineering experience, particularly within the insurance sector. Emphasise your proficiency with AWS, Azure, GCP, and any relevant certifications you hold.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the Head of Data Engineering role. Discuss your experience in managing complex environments and collaborating with senior technical teams, and how this aligns with the company's needs.
Showcase Relevant Projects: Include specific examples of projects where you designed, developed, or managed data pipelines, warehouses, or data lakes. Highlight any strategic management roles you've held in cloud or hybrid environments.
Proofread and Edit: Before submitting your application, carefully proofread your documents to eliminate any errors. A polished application reflects your attention to detail, which is crucial for a leadership role in data engineering.
How to prepare for a job interview at JCW
✨Showcase Your Technical Expertise
Be prepared to discuss your extensive experience in data engineering, particularly within the insurance sector. Highlight specific projects where you've designed and managed data pipelines or optimised data platforms, as this will demonstrate your capability to handle the technical demands of the role.
✨Familiarise Yourself with Cloud Platforms
Since the role requires proficiency in AWS, Azure, and GCP, make sure you brush up on your knowledge of these platforms. Be ready to discuss how you've used them in previous roles, especially in hybrid environments, to show that you can effectively manage complex data solutions.
✨Prepare for Strategic Discussions
The Head of Data Engineering will need to collaborate with senior stakeholders and lead strategic initiatives. Prepare examples of how you've successfully led teams or projects, focusing on your ability to enhance enterprise data platforms and improve efficiency and scalability.
✨Ask Insightful Questions
During the interview, don't hesitate to ask questions that show your interest in the company's data strategy and future plans. Inquire about their current challenges in data engineering and how they envision the role contributing to their goals. This demonstrates your proactive mindset and strategic thinking.