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- Tasks: Lead the data engineering function, shaping strategy and overseeing platform operations.
- Company: Join a leading consultancy focused on innovative data solutions for top-tier clients.
- Benefits: Enjoy remote work, health insurance, mental health support, and financial aid for learning.
- Why this job: Be at the forefront of data engineering, driving innovation and making a real impact.
- Qualifications: Proven experience in data engineering leadership with expertise in Azure, Snowflake, and Kafka.
- Other info: Fast-track your career in a collaborative environment with opportunities for growth.
The predicted salary is between 54000 - 84000 £ per year.
Our client are seeking a Head of Data Engineering to lead the strategic direction, delivery, and ongoing evolution of enterprise data engineering capabilities for a leading insurance client in London. This role blends deep technical expertise with visionary leadership, responsible for defining, building, and scaling a modern data platform aligned to business and regulatory needs.
As the Head of Data Engineering, you will own the end-to-end data engineering function – overseeing architecture, platform operations, integration strategy, and team leadership. You’ll shape the roadmap for data engineering initiatives across Azure, Snowflake, Kafka, and modern Lakehouse architectures, ensuring resilience, scalability, governance, and performance.
- Lead the Data Engineering Function: Define and implement the data engineering strategy, architecture, and operating model across the enterprise.
- Platform Ownership: Own the full lifecycle of the data platform – ingestion, storage, transformation, governance, and access – with a focus on Azure, Snowflake, Kafka, and Data Lakes.
- Shape the vision and roadmap for the data engineering function in line with business objectives, regulatory requirements, and technological advancement.
- Guide the design of scalable, secure, and automated data architectures including Lakehouse, Kappa, and Lambda patterns.
- Establish strong data governance practices, ensuring robust access control, auditability, and compliance frameworks.
- DevOps & Automation: Champion automation and Infrastructure-as-Code (IaC), driving efficiency, resilience, and self-service capabilities.
- Cross-functional Collaboration: Work closely with data architects, DevOps, security, and analytics teams to deliver end-to-end platform capabilities.
- Build and lead high-performing data engineering teams, fostering a culture of innovation, ownership, and continuous improvement.
- Drive adoption of SDLC best practices across the data platform, ensuring reliability and high standards of software engineering.
Proven experience as a Head of Data Engineering, Principal Data Engineer, or Lead Data Architect, managing large-scale data platform initiatives. Expertise in Azure, Snowflake, Kafka, and Data Lake technologies, with a strong grasp of modern architectural patterns (Lakehouse, Lambda, Kappa). Strong knowledge of data governance, security, and regulatory compliance within enterprise environments. Experience with data integration, enterprise data modeling, and real-time data streaming solutions. Deep understanding of DevOps, CI/CD, and Infrastructure-as-Code (IaC) for data platforms. Strong grasp of Data Mesh and Data Fabric principles and their practical application. Exceptional communication and stakeholder management skills, with the ability to align data engineering outcomes to business value.
Comprehensive benefits package including health insurance and wellbeing/mental health support. Financial support for ongoing learning and development. Collaborative and innovative company culture. Opportunities for rapid career progression across a fast-growing consultancy.
Head of Data Engineering - REMOTE WORK employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering - REMOTE WORK
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with Azure, Snowflake, and Kafka. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your leadership skills by sharing examples of how you've successfully led data engineering teams or projects in the past. Highlight your ability to foster a culture of innovation and continuous improvement within your teams.
✨Tip Number 3
Familiarise yourself with the specific regulatory requirements and data governance practices relevant to the insurance industry. This knowledge will demonstrate your understanding of the business context and your ability to align data engineering initiatives with compliance needs.
✨Tip Number 4
Prepare to discuss your experience with automation and Infrastructure-as-Code (IaC) during interviews. Be ready to provide insights on how you've implemented these practices to enhance efficiency and resilience in data platforms.
We think you need these skills to ace Head of Data Engineering - REMOTE WORK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Azure, Snowflake, and Kafka. Use specific examples of past projects that demonstrate your leadership and technical skills.
Craft a Compelling Cover Letter: In your cover letter, express your vision for the data engineering function and how it aligns with the company's objectives. Mention your experience with modern architectural patterns and your approach to data governance.
Showcase Leadership Skills: Emphasise your experience in building and leading high-performing teams. Provide examples of how you've fostered a culture of innovation and continuous improvement in previous roles.
Highlight Technical Expertise: Detail your technical expertise in data platforms, including your understanding of DevOps, CI/CD, and Infrastructure-as-Code. Be specific about how you've applied these principles in real-world scenarios.
How to prepare for a job interview at Lorien
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Azure, Snowflake, Kafka, and Data Lakes in detail. Highlight specific projects where you implemented these technologies and how they contributed to the success of the data engineering function.
✨Demonstrate Leadership Skills
As a Head of Data Engineering, you'll need to lead teams effectively. Share examples of how you've built high-performing teams, fostered innovation, and driven continuous improvement in previous roles.
✨Align with Business Objectives
Understand the company's business goals and be ready to explain how your vision for the data engineering function can support these objectives. Discuss how you would shape the roadmap to align with both regulatory requirements and technological advancements.
✨Emphasise Collaboration and Communication
Highlight your experience working cross-functionally with data architects, DevOps, and analytics teams. Be prepared to discuss how you ensure effective communication and stakeholder management to deliver end-to-end platform capabilities.
