Senior Data Engineer (Azure/Databricks)

This is a permanent role, and we’re a remote-friendly company. Candidates must be based in Malta or Bulgaria.

About Us

Ascent is now part of Acuity Analytics, marking an exciting new chapter with strong global reach, an impressive client base, and ambitious growth plans. Together, we deliver cutting-edge data and digital transformation solutions to high-growth and regulated organisations—combining talent, technology, and deep domain expertise to drive real business impact.

We’re looking for a Senior Data Engineer to join a team supporting global claims reporting for a leading reinsurance organisation.

You’ll work across Azure and Databricks, building reliable data pipelines and scalable solutions that power reporting and analytics across the business.

• →Build and manage Databricks Workflows to orchestrate large-scale data pipelines
• →Design and deliver ETL/ELT pipelines using best practices
• →Work with Delta Lake and Lakehouse architecture to structure data
• →Create and manage data assets using Unity Catalog
• →Develop data transformations using Python (PySpark) and SQL
• →Build and deploy PyFunc models into production pipelines
• →Use Azure services like Key Vault, Logic Apps, Service Bus, and APIM to support secure and scalable solutions
• →Set up and improve CI/CD pipelines with Azure DevOps
• →Work with stakeholders to turn business needs into practical, scalable data solutions

• Strong experience with Azure Databricks (PySpark / Spark SQL)
• Solid Python and SQL skills
• Experience building data pipelines and data models
• Good understanding of Delta Lake / Lakehouse architecture
• Experience working with Azure DevOps and CI/CD
• Comfortable working with large, complex datasets
• Able to work with different teams and stakeholders

• Experience in insurance, reinsurance, or claims reporting
• Knowledge of NoSQL (e.g. Cosmos DB)
• Familiarity with event-driven or microservices architecture
• Experience with monitoring tools like Datadog or Application Insights
• Exposure to Microsoft Cognitive Services

• Agile, collaborative environment
• Focus on ownership and quality
• Supportive team that shares knowledge and ideas
• Work that has real impact across the business