Data Engineer

Rival Insurance Technology; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading insurance technology company in Toronto is seeking a Data Engineer to join their Data Estate team. The ideal candidate will have expertise in building scalable data pipelines using technologies like Databricks and Azure, with strong Python skills to support data processing and API development. This role encourages collaboration and aims to transform business insights through innovative data solutions. A culture of ownership and experimentation prevails in this dynamic environment.

Qualifications

• 3–5+ years of experience in data platform or backend development.
• Advanced proficiency in Databricks and Azure data services.
• Strong Python development skills for data processing and APIs.

Responsibilities

• Design and maintain scalable data pipelines using Databricks and Azure services.
• Develop Python-based solutions for data processing and APIs.
• Champion data quality and governance in data processes.

Skills

Data platform development

Backend development

Python development

Communication

Problem-solving

DevOps practices

Tools

Databricks

Azure SQL

Azure Data Factory

PostgreSQL

Job description

Data Engineer

At Rival Insurance Technology, we’re on a mission to innovate insurance together. As we build our next-generation platform, our Data Estate team is at the heart of it—powering insights, automation, and smarter decisions across the business.

We’re looking for a Data Engineer who’s excited to work on cloud-native infrastructure, solve real business problems, and turn data into value. If you’re someone who thrives in a fast-moving, collaborative environment and loves owning your work from concept to delivery, you’ll feel right at home here.

What You’ll Do

• Design, build, and maintain scalable, resilient data pipelines using Databricks, Apache Spark, Azure Data Factory, PostgreSQL, and Azure SQL.
• Develop and deploy Python-based solutions that support data processing, APIs, and service integration.
• Connect internal and third-party platforms via REST APIs and other web services
• Champion data quality, observability, compliance, and governance—balancing agility with responsible data practices.
• Collaborate with developers, analysts, and business stakeholders to design solutions that fit evolving data needs.
• Proactively identify areas for improvement, propose solutions, and drive iteration—aligned to KPIs and business priorities.

What You Bring

3–5+ years of experience in data platform development, backend development, or a similar technical role.

Hands-on experience with Microsoft Azure data services (Azure SQL, Azure Data Factory, Azure AI Search, Azure Cosmos DB).

Advanced proficiency in Databricks (Delta Lake, Apache Spark, PySpark, workflows, notebooks).

Strong Python development skills—particularly for data transformation and APIs.

Solid understanding of data modeling, warehousing, and performance optimization.

Familiarity with DevOps practices, Git, and CI / CD pipelines in a cloud environment.

Clear communicator who can work independently while staying aligned with a remote team.

You Might Be a Fit If You…

Are a self-starter who follows through, even when things get ambiguous.

Enjoy solving complex problems and delivering scalable solutions.

See iteration as a strength, not a sign of failure.

Appreciate working with people from diverse backgrounds and geographies.

Are excited to contribute to a culture of ownership, accountability, and experimentation.

Bonus Points For

Experience with Azure Fabric, Power BI, or other BI tools.

Familiarity with data privacy regulations (PIPEDA, GDPR, etc.).

Exposure to machine learning workflows or MLOps practices.

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