Senior Data Software Engineer

We're seeking a capable Senior Data Software Engineer with solid AI expertise to join our organization. This role presents the chance to contribute to meaningful, data-centered projects within a cooperative and innovation-minded environment. You'll become part of a team that places value on technical depth, continuous skill-building, and real-world application of modern technology. For someone passionate about engineering robust data systems while expanding their AI knowledge, this position offers a solid foundation for career growth

Responsibilities

• Plan and construct scalable, sustainable data architecture that aligns with both business and technical goals
• Partner with teams across different functions to ensure work is finished punctually and meets quality expectations
• Participate in architecture-focused discussions, sharing input that helps direct data-related project outcomes
• Assess code authored by fellow engineers, offering constructive notes that maintain strong engineering standards
• Diagnose and resolve intricate technical problems that emerge throughout the development and data handling process
• Help junior colleagues grow by passing along knowledge that builds their technical competencies
• Engage in planning conversations, assisting with scope outlines and delivering reliable time projections
• Keep pace with changing technology trends and incorporate beneficial new methods into regular work
• Preserve organized documentation of significant technical decisions and data processes to support system longevity
• Collaborate directly with stakeholders to define clear goals and confirm finished work matches expectations

Requirements

• At least three years of applicable, hands-on professional background
• Hands-on familiarity with AI principles and tools, used to enhance the design of data-driven solutions
• Advanced command of Python for developing and sustaining data processing systems
• Background working with Apache Kafka Streams for overseeing real-time data streaming workflows
• Practical skill with Apache Flink for handling and analyzing extensive streaming datasets
• Direct experience operating within an Amazon Web Services cloud infrastructure
• Able to apply SQL for organizing, managing, and extracting information from relational databases
• Working knowledge of NoSQL database systems for managing unstructured or semi-structured content
• Awareness of CI/CD practices that support consistent, automated releases for software and data pipelines
• Strong background in Data Software Engineering, constructing dependable and scalable data-oriented systems
• Familiarity with SDLC Methodologies and their application in supporting organized, efficient project work
• Background operating within Agile structures to support collaborative, iterative development cycles
• Confident English communication abilities at a B2 level or above