Data Engineer

Slide Insurance - Fun. Innovation Driven. Fueled by Passion, Purpose and Technology.

At Slide, you will not only be part of a successful team, but you will also be a part of our Slide Vibe/award winning culture where collaboration and innovation are expected, recognized and awarded!

As a Data Engineer, you’ll design and deliver scalable, analytics‑ready data solutions that support reporting, insights, and decision‑making across the organization. You’ll partner closely with analytics and business teams while helping evolve Slide’s modern data platform.

What You'll Do

Data Engineering & Pipelines

• Design, build, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks
• Develop and optimize Databricks notebooks and jobs using PySpark and Spark SQL
• Implement and manage Delta Lake tables across raw, processed, and curated layers
• Build robust ETL/ELT pipelines to ingest and transform data from internal and external sources

Data Quality, Performance & Operations

• Apply data cleansing, transformation, and standardization logic
• Optimize Spark jobs for performance, scalability, and cost efficiency
• Monitor, troubleshoot, and resolve production pipeline issues
• Implement data quality checks, logging, and error handling to ensure reliability

Collaboration & Continuous Improvement

• Partner with analysts and business teams to deliver analytics‑ready datasets
• Support reporting and analytics use cases, including Power BI
• Contribute to data engineering standards, best practices, and documentation
• Support CI/CD practices and Agile delivery environments

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What You Bring

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent experience
• 3–5 years of experience building and supporting production data pipelines
• Hands‑on experience with Azure Databricks, PySpark, and Spark SQL
• Strong SQL skills for large‑scale data processing and optimization
• Experience with Azure Data Factory, ETL/ELT frameworks, and lakehouse architectures
• Familiarity with Delta Lake, Azure Data Lake Storage, and cloud data platforms
• Experience working with large, complex datasets in production environments
• Exposure to CI/CD practices, source control (Azure DevOps/Git), and data governance concepts
• Strong analytical and problem‑solving skills with the ability to work across technical and business teams
• Experience in P&C insurance or high‑volume transactional environments is a plus
• Alignment with Slide’s Core Values and collaborative culture