Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.

Effective

January 1, 2026, Gore has joined Beneva—the country’s largest mutual insurance company—as part of its Property & Casualty operations in Ontario and Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva’s Ontario-based subsidiary specializing in niche commercial and personal insurance, creating a stronger, more diversified mutual insurer with greater scale and long-term stability. Every decision and investment remains anchored in long-term benefits to customers, members, and communities.

We are looking for a Data Engineer with strong technical background in software engineering / computer science, you will play a pivotal role in designing, building, and maintaining our data platform. Your work will facilitate data accessibility, accuracy, and accountability, enabling data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to ensure our data processes are robust and scalable.

Design and Implement Data Processes Design and implement robust data infrastructure, tooling, workflows, and models that power the data platform. Build and maintain enterprise data assets to support business reporting and analytical modelling for all business stakeholders. Ensure integration of required tools, monitoring health of data platform, and maintain CI/CD pipelines to enforce standards.

Design and Implement Data Governance Processes Automate day-to-day data operations, pipeline monitoring, and data integration with external systems. Create and maintain frameworks for metadata, data tagging, and data lineage. Implement data quality and monitoring frameworks to ensure data reliability.

Test and Optimize Data Platform Optimize data pipelines to ensure efficient data flow. Ensure that the data extracted from sources is accurate,



complete, and usable. Test the efficiency and speed of data pipelines and databases.

This can help identify bottlenecks and optimize performance. Verify that different components of the data infrastructure work together as expected. This includes checking that data flows correctly from sources to databases, and from databases to applications.

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering or a related field. ~ A minimum of 4-5 years relevant experience as a data engineer is required. This includes experience in data engineering, data system development, or related roles. ~ Strong understanding of data structures, modern data modeling, and software architecture. ~ Good knowledge of Microsoft AzureServices (DevOps, Databricks,SQL Server, Event Hub, Web Apps, Data Factory, Azure Storage, Keyvault, etc.) ~2+ years of experience in ML engineering and MLOps, define and enforce MLOps best practices - including versioning, governance, and monitoring. Proven track record of deploying and maintaining ML models in production at scale. ~ Building automated and reusable pipelines for ML model training, evaluation, retraining, and deployment.

Monitor ML model usage, latency, cost, and drift, and optimize model serving for low latency and high throughput ~ Experience with ML orchestration, develop pipelines for automate feature engineering, predictive model training and testing, prompt engineering, fine-tuning, and RAG workflows.

Strong





Python skills and familiarity with LLM frameworks (LangChain, LlamaIndex), Azure OpenAI models and Agentic AI, CI/CD, YAML pipeline, MLflo ~ Experience with software design patterns and test-driven development (TDD) ~ Proficiency in Python, including a strong grasp of Object Oriented and Functional programming paradigms. ~ Solid understanding of Spark concepts and distributed systems, including data transformations, RDDs, DataFrames, and Spark SQL. ~ Strong SQL skills and expertise in database management and performance tuning. ~ Experience with data lakehouse and Medallion architectures. ~ Experience with version control systems (Git) and CI/CD practices. ~ Familiarity with data governance principles and metadata management practices. Bonus points for Azure certifications (Microsoft Certified: Azure Data Engineer Associate). Databricks certifications (Databricks Certified /Data Engineer Professional certification).

Experience with contemporary data transformation tools (dbt, Dataform, or similar) for building scalable analytics workflows. Proficiency in dimensional modeling techniques such as star schema and snowflake schema. #You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals. Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs.

Gore Mutual Insurance

Company is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process. If you require accommodation because of a disability, we will work with you to meet your needs.

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