Senior Data Engineer

Wrisk is transforming insurance for the digital age, making it simpler, more transparent and more relevant to customers. We combine technology, deep insurance capability and rich data to help leading global brands build and operate embedded insurance propositions. Our platform supports the full customer lifecycle - from acquisition and quotation through to policy management, renewals and ongoing portfolio optimisation.

As Wrisk continues to scale its Platform-as-a-Service (PaaS) offering across the UK and Europe, we are seeking a Senior Data Engineer to take technical ownership of our domain data capabilities.

In this role, you will thrive on end-to-end ownership, solve ambiguous problems, and build scalable, production-grade systems. Working closely with our UK Data Engineering team, you will translate business objectives into high-quality code, sound technical architectures, and scalable cloud infrastructure—delivering both domain-specific solutions and reusable tools for our shared data platform.

• →Own Domain Data Platforms: Take end-to-end technical responsibility for a business domain’s data platform—from early architecture design through to production delivery, monitoring, and ongoing operation
• →Develop Pipelines & Services: Build reliable, idempotent ETL/ELT pipelines, backend APIs, and data services using Python, SQL, and modern software engineering practices
• →Provision Cloud Infrastructure: Design, deploy, and manage secure, scalable AWS infrastructure using Infrastructure as Code (Terraform)
• →Build Shared Capabilities: Leverage Wrisk’s core data platform and orchestration frameworks, while actively contributing reusable tooling back to the shared ecosystem for other engineers to use
• →Ensure Operational Excellence: Optimize data models, query performance, and system architecture while embedding observability, resilience, and automated testing into your services
• →Simplify & Automate: Continuously look for opportunities to reduce technical debt, automate repetitive engineering tasks, and improve overall developer experience
• →Collaborate Across Borders: Work closely with our UK Data Engineering team to translate high-level business goals into pragmatic technical solutions with minimal supervision

• Experience: 5+ years of software/data engineering experience, with a proven track record of shipping and operating production systems
• Strong Python & SQL Mastery: Deep expertise in writing clean, modular Python, combined with advanced SQL skills (database design, data modeling, indexing, and query optimization)
• Cloud & Infrastructure Fluent: Hands-on experience building cloud-native solutions on AWS and managing infrastructure declaratively via Terraform
• Pipeline & API Designer: Skilled in creating resilient ELT/ETL orchestration workflows, containerizing applications with Docker, and designing robust APIs/backend microservices
• Product-Minded Engineer: Comfortable operating from high-level, ambiguous objectives rather than detailed specifications, making pragmatic technical trade-offs along the way
• High-Ownership Mindset: Proactive, self-directed, and motivated by full lifecycle accountability—you don't wait for work to be assigned; you find and fix problems

• In Month 1: You have onboarded into the Wrisk stack, understood our shared orchestration and infrastructure patterns, built strong working relationships with the UK Data Engineering team, and made your first production contributions
• In Month 3: You have taken full technical ownership of your assigned domain data platform, delivered production-ready pipelines, and contributed at least one reusable improvement back to Wrisk's shared tooling
• In Month 6 & Beyond: You are operating with high autonomy—setting architectural standards within your domain, anticipating performance bottlenecks before they hit production, and serving as a trusted technical authority who elevates Wrisk’s overall data engineering maturity.