Head of Engineering

3 weeks ago


London, Greater London, United Kingdom she does data. Full time
Head of Data Engineering & Analytics

To be considered for an interview, please make sure your application is full in line with the job specs as found below.We are seeking a Head of Data Engineering & Analytics to play a pivotal role in leading cutting-edge data infrastructure initiatives. In this dynamic position, you will shape the future of insurtech utilizing advanced technologies and adhering to industry best practices with tools such as Azure, Snowflake, dbt, and more.What you'll be doing:

Develop and execute a comprehensive data strategy that aligns with our business goals and enhances decision-making processes.Champion the integration of high-quality, accessible data throughout our operations to promote a culture of data-driven decision making.Recruit, mentor, and lead a top-tier data engineering and analytics team, emphasizing innovation, efficiency, and collaborative growth.Manage significant expansions in data volume and integration, enhancing our product offerings with superior data insights.Lead robust data governance practices, collaborating closely with compliance and other stakeholders to uphold data integrity and utility.Design, develop, and maintain sophisticated data models and architectures that inform business strategies and operational efficiencies.Spearhead the development and management of robust data pipelines in collaboration with technical teams and data scientists, supporting both pre-processing and post-processing activities.What you can bring:

A minimum of 10 years' experience in data engineering and analytics, with a proven ability to guide and grow high-performing teams.Strong background in data governance and the scaling of data operations.Demonstrated leadership in transformative data-driven projects and team development.Expertise in data modelling, database design, and data warehousing.Proficiency in SQL, Python, and other essential data manipulation technologies.Experience in deploying complex machine learning algorithms in partnership with data science teams.What would be advantageous:

Experience in implementing observability and monitoring frameworks.Active engagement in open-source projects or tech communities.Experience in fast-paced, high-growth startups.Knowledge of the insurance industry.What's in it for you:

Competitive share options scheme.Generous pension plan and enhanced parental leave.25 days of holiday plus public holidays.Flexible, hybrid working.Financial support for professional development and continuous learning.Home office stipend and mental health support initiatives.Cycle to work scheme and dedicated time for professional growth.Company-provided MacBook.Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both our team and our partners' teams. This is just one of the ways that we're taking positive action to shape a collaborative and diverse future in the workplace.Seniority level Mid-Senior levelEmployment type Full-timeJob function Information TechnologyIndustries Data Infrastructure and Analytics

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