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 Platform Developer 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.