Software Engineer (Data Engineer - Azure)

Responsibilities

• Design, build, and optimize data ingestion and transformation pipelines from multiple sources using Azure Data Factory and Databricks notebooks
• Partner with architects and business/data science teams to design scalable, business-aligned solutions on Azure
• Build and maintain processes for data transformation, data structures, metadata management, and workload/dependency orchestration
• Design data models and warehouse schemas that enable fast, intuitive analytics
• Provide technical expertise and thought leadership on cloud architecture and infrastructure strategy within Microsoft Azure
• Maintain and evolve existing Azure infrastructure, proactively planning for scale and future needs
• Author clear specification documents covering design, testing, and support processes
• Translate business requirements into development plans, effort estimates, and project timelines
• Work cross-functionally with project teams to identify and mitigate risks across design, implementation, and delivery

Requirements

• 3+ years of professional IT experience, with a strong foundation in data engineering
• 3+ years of hands-on experience with core Azure data services: ADLS, Data Factory, Databricks, SQL DW, Azure Functions
• Strong proficiency in Python for data engineering workflows
• Proven experience designing and building solutions on Azure Cloud, particularly Azure SQL Data Warehouse/DB, Data Factory, Data Lake Store/Blob, and Databricks
• Hands-on expertise with Databricks for data engineering workloads, including notebooks, Delta Lake, cluster management, and job orchestration
• Solid grasp of lakehouse architecture principles, with experience implementing them in production
• Strong SQL skills across relational and NoSQL databases, with particular depth in T-SQL and Azure SQL DW
• Experience building, debugging, and migrating data pipelines using Azure Data Factory and Databricks notebooks
• Ability to develop and maintain conceptual, logical, and physical data models
• Nice to have - familiarity with LLMs and RAG (Retrieval-Augmented Generation) architecture
• Nice to have - experience in HR analytics

Don't meet every single requirement. We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

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