Data Engineer

Responsibilities

We are hiring a hands-on senior level Data Engineer to build trustworthy, well governed data products and turn them into insights that drive underwriting, claims, product, distribution, and operations for the organization. You will collaborate directly with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights and clear narratives that influence decisions. You’ll context switch comfortably between data & analytic engineering and meeting with business stakeholders to understand their processes and needs.

You will Collaborate closely with cross-functional teams; including Underwriting, Product, Claims, Finance, and Distribution/Operations- to transform business questions into clearly documented requirements and actionable data solutions. Model and publish curated, analysis ready datasets, semantic models in Power BI or analytics delivery that illuminate small commercial metrics. Continuously learn and expand business knowledge to proactively produce automated analytic solutions to business challenges.

You will Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric; Follow platform standards, optimize for performance, reliability, and cost. Follow and implement documentation standards, governance and data quality controls across datasets. Use Azure DevOps (ADO) for CI/CD and version control (branching, pull requests, release pipelines) to harden delivery and improve repeatability. Document technical architecture and workflows to support onboarding and reduce risk Apply best practices in data modeling and engineering to create reusable, high-quality data products.

You will Work in an Agile/Scrum environment, contributing to sprint planning, backlog refinement, and demos. Support development and scaling of data products, BI solutions, and AI-driven use cases across business areas.

Requirements

• Hands-on experience in data modeling (conceptual, logical, physical), data engineering, analytics engineering, SQL, and Python
• Bachelor’s or Master’s degree in Computer Science, IT, or related field
• 5+ years of data engineering experience, preferably in P&C insurance
• Strong experience with modern lakehouse platforms (e.g., Microsoft Fabric, Databricks, Snowflake, AWS)
• Experience building data solutions in cloud environments (Azure preferred; AWS a plus)
• Familiarity with Azure DevOps (ADO) and CI/CD practices
• Experience with data transformation, semantic modeling, and BI tools (Power BI, Tableau)
• Strong analytical and problem-solving skills
• Experience working in Agile/Scrum environments with product-based delivery
• Experience delivering end-to-end data, analytics, or AI solutions with business stakeholders
• Strong communication and collaboration skills

Preferred Experience

• With distributed processing frameworks (e.g., Spark)
• Knowledge of data warehousing concepts and tools
• Additional programming experience (e.g., Scala)
• Understanding of data security and compliance
• Microsoft Fabric certifications (e.g., DP-600, DP-700)
• Experience with AI agents or multi-agent frameworks for business use cases