Senior Data Software Engineer

We are looking for a Senior Data Software Engineer to build high-performance big-data applications and cloud-native data pipelines while enabling AI-assisted engineering practices. You will partner with cross-functional teams to deliver reliable data and application solutions—apply now to make an impact.

Responsibilities

• Develop high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python
• Build and optimize cloud-native data pipelines on Azure, including Azure Data Factory ingestion, transformation, and orchestration
• Implement robust APIs and microservices that integrate MarTech systems with client-facing platforms
• Design event-driven and distributed architectures that improve reliability, maintainability, and scalability
• Build and maintain full-stack applications using modern frontend frameworks and backend services
• Drive AI-assisted engineering practices including Vibe Coding and generative-AI development accelerators
• Collaborate with product, marketing, and data teams to translate business needs into technical solutions
• Optimize performance, cost, and operational stability across data processing and application services
• Establish engineering standards and review practices to improve code quality and delivery velocity
• Support CI/CD pipelines and release processes for full-stack and data workloads

Requirements

• 3+ years of experience in data software engineering using Python and Scala
• 3+ years of experience with Databricks for large-scale data processing
• 3+ years of experience with AI-augmented development practices including Anthropic Claude Code and Vibe Coding
• Proven team leadership skills in a fast-paced, cross-functional environment
• Strong project delivery skills across data and application layers
• Advanced system design skills with event-driven architectures and distributed design patterns
• Cloud engineering skills with Azure services including Azure Data Factory
• Full-stack engineering skills with modern frontend frameworks such as React, Angular, or Vue
• Backend development skills using Node.js, Python, or Java
• API design skills with RESTful and GraphQL services
• CI/CD pipeline skills supporting full-stack deployments
• Strong communication skills to align stakeholders and explain technical trade-offs
• Upper-Intermediate English level (B2)

Nice to have

• Apache Spark expertise beyond managed Databricks usage
• Azure Data Factory advanced patterns for orchestration and monitoring
• Java experience for backend services