Head of Data Engineering, INSHUR

• Visionary Tech Leadership: A proven track record in leading data engineering teams—building high-performing cultures, mentoring talent, and delivering complex data platforms at scale
• Domain Expertise in Insurance & Insurtech: A solid understanding of the unique data architecture, compliance needs, and transformation opportunities within insurance—ideally within a tech-forward, fast-paced insurtech environment
• Enterprise-Grade GCP Architecture: Deep expertise in designing and deploying robust data solutions on Google Cloud Platform, leveraging tools like BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Looker
• Advanced Data Pipeline Engineering: Deep, hands-on experience designing and implementing large-scale batch and streaming pipelines from diverse data sources, alongside sophisticated, analytics-optimised data models (e.g., dimensional, data vault)
• Track Record of Building Elite Engineering Teams: Demonstrated ability to hire, mentor, and scale high-calibre data engineering teams while fostering a collaborative, innovation-driven culture that consistently delivers business impact
• Strategic Technical Communication: Ability to translate complex architectural decisions and technical concepts into clear, business-aligned narratives for senior stakeholders
• Team Builder & Culture Shaper: A history of hiring, growing, and scaling globally distributed teams, fostering innovation, inclusion, and continuous learning
• Modern Data Stack Expertise: Skilled in cloud-native data warehousing, ETL/ELT development, orchestration frameworks, data governance, and CI/CD for data platforms
• AI/ML Infrastructure Insight: Experience designing data ecosystems that power machine learning—enabling efficient experimentation, model training, deployment, and monitoring
• Strategic Systems Thinking & Executive Communication: Proven ability to distil complex technical architecturesand engineering strategies into clear, outcome-focused narratives—aligning senior stakeholders, influencing direction, and fostering collaboration across globally distributed teams
• 💡 Thrive navigating ambiguity and finding clarity in uncertain situations
• 👏 Take pride in being accountable and owning your responsibilities
• Enjoy in a fast-paced environment where change happens quickly
• 🔧 Are solutions-focused and driven to overcome challenges
• 💪 Embrace resilience and adapt to setbacks with a positive attitude
• 🧠 Are intellectually curious, constantly seeking to learn, explore new ideas, and not afraid to question and improve your understanding

Desirable

• We are looking for a Head of Data Engineering to join us at INSHUR!
• We’re based in New York City, Dallas, TX and Westlake, CA and our company embraces a hybrid working model, allowing you to thrive in both collaborative office settings and the comfort of your own home 🏠
• You’ll have the opportunity to work remotely while also connecting with your colleagues at our NYC office at least twice a week, fostering a dynamic and supportive environment
• You’ll be working on re-inventing insurance in exciting markets across multiple territories including the UK 🇬🇧, US 🇺🇸, and the Netherlands 🇳🇱
• Supported by (and reporting to) the Chief Technology Officer, you'll be joining a friendly team of 8 in Data who believe in who believe in empowering the business through robust, scalable data infrastructure and driving innovation with high-quality, actionable data to support advanced analytics and AI initiatives
• In this newly created Head of Data Engineering role, you will be responsible for architecting and executing a visionary data strategy that ensures robust, scalable, and accessible data foundations across all facets of the organization
• In close collaboration with our Head of Data Insights, you will empower the business with high-quality, actionable data
• You will drive the evolution of our global data infrastructure to support and accelerate advanced data science and AI initiatives, positioning INSHUR at the forefront of innovation within the industry
• Setting the vision for data at INSHUR: Craft and drive the execution of a bold, forward-thinking data engineering strategy that underpins our mission and fuels our AI-driven future
• Inspiring and empowering a world-class team: Grow and guide a high-performing, globally distributed data engineering team—instilling a culture of innovation, curiosity, and excellence in all things data
• Building the backbone of our data ecosystem: Architect and scale resilient, secure, and flexible data infrastructure—laying the groundwork for powerful analytics and cutting-edge AI capabilities
• Elevating trust and integrity in our data: Champion rigorous data governance and quality standards, ensuring every decision at INSHUR is built on reliable, secure, and compliant data
• Accelerating AI and machine learning innovation: Shape the data platforms and pipelines that enable rapid experimentation, development, and deployment of transformative AI/ML solutions
• Bridging data with the business: Collaborate across teams—from Product to Engineering to Insights—translating strategic needs into scalable data solutions that drive real business impact
• Designing intelligent data flows: Architect and optimize high-volume ingestion pipelines and sophisticated data transformations that fuel real-time intelligence and actionable insights
• Leading with curiosity and foresight: Keep INSHUR at the forefront by scouting emerging technologies, testing their potential, and integrating innovations that future-proof our data capabilities
• Safeguarding our most valuable asset: Uphold the highest standards in data privacy, security, and regulatory compliance—protecting both our customers and our business
• Driving innovation with Google Cloud: Collaborate with Google Cloud to unlock the full potential of GCP, co-creating advanced, scalable solutions that propel our data strategy and business success

• Screen & Intro: 30-45 minute video call with the Head of Talent Acquisition to discuss the role and your experience
• First Interview: 60-minute video call with the CTO and Data Business Analyst, including team fit and technical questions along with an opportunity for you to ask questions
• Case Study: A brief take-home task followed by a 45-60 minute video interview with the CTO & Head of US Acturial to run and take follow up querstions
• Final Interview: 45-60 minute video interview with our CFO and Director of People assess motivations, management and values
• We encourage you to ask questions about the role and the company throughout the hiring process. We believe that this is as much an opportunity for you to interview us as it is for us to interview you