Senior Data Software Engineer

We are seeking a Senior Data Software Engineer to design and build high-performance big-data applications and full-stack solutions that power our data and MarTech ecosystem. This role combines deep expertise in cloud-native data engineering with modern application development practices, requiring close collaboration with product, marketing, and data teams to deliver scalable, reliable technical solutions.

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 ADF-based ingestion, transformation, and orchestration
• Build and maintain full-stack applications using modern JavaScript frameworks and backend services
• Implement robust APIs and microservices that integrate MarTech systems with customer-facing platforms
• Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems and full-stack architectures
• Drive AI-assisted engineering practices including Vibe Coding and other generative-AI development accelerators
• Translate business needs into robust technical solutions across both data and application layers in collaboration with cross-functional teams

Requirements

• 3+ years of experience with big-data technologies such as Scala, Databricks, Spark SQL, and Spark Streaming, along with Python
• Experience with cloud engineering using Azure services, including Azure Data Factory
• Expertise in advanced system design, including event-driven architectures and distributed design patterns
• Full-stack engineering experience with frontend frameworks such as React, Angular, or Vue
• Background in backend development using Node.js, Python, or Java
• Proficiency in RESTful and GraphQL API design, along with CI/CD pipelines supporting full-stack deployments
• Proven ability to lead engineering teams in a fast-paced, cross-functional environment
• Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact
• English proficiency at B2 level or higher

Nice to have

• Experience with AI-augmented development such as Vibe Coding or comparable frameworks
• Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation