Data Engineer at Chelsea Avondale

Chelsea Avondale is a global leader in home insurance, combining advanced risk modeling with our own proprietary insurance pricing technology. Our group includes the Skynet Software research and engineering division alongside Max Insurance, and we are currently seeking a Data Engineer to help us transform the insurance landscape from our base in Canada.

Responsibilities

• Design and develop robust data pipelines, warehouse structures, and visualizations.
• Collaborate across our science, engineering, and business teams to build data solutions that serve multiple internal needs.
• Translate complex business requirements into high-quality data products.
• Write and maintain clean, efficient Python code while adhering to best practices.
• Develop scalable systems for ingesting both structured and unstructured data to support our machine learning and AI initiatives.
• Analyze intricate data flows and dependencies to create optimal storage and retrieval models.
• Communicate findings clearly to stakeholders and drive improvements in overall data quality.

Must-haves

• At least 3 years of professional experience working with Python and Pandas.
• Proven ability to handle end-to-end project execution independently.
• Hands-on experience with data warehouse design, pipeline development, and data visualization.
• Proficiency with MongoDB.
• Familiarity with CI/CD methodologies, including Git workflows, code reviews, and merge requests.
• Strong analytical and problem-solving skills, with a meticulous approach to data integrity.
• Excellent communication skills and the ability to present technical solutions to senior business leaders.
• A degree in Mathematics or Statistics.
• Fluency in English.
• Willingness to work in a hybrid capacity, including visiting our Toronto office once per month.

Nice-to-haves

• Practical experience working with AWS cloud services.

Benefits

• Hybrid work environment.