Senior Data Software Engineer

We are seeking a talented Senior Data Software Engineer with strong AI familiarity to join our growing team. This position provides an opportunity to contribute to meaningful, data-driven work within a cooperative, future-focused environment. You'll collaborate with colleagues who value deep technical knowledge, ongoing education, and the hands-on use of contemporary technology. If you're eager to engineer dependable data systems while expanding your AI skillset, this role offers a solid pathway for career progression Responsibilities Design and construct scalable, enduring data systems that fulfill both business and technical demands Collaborate with multidisciplinary teams to ensure deliverables are finished punctually and meet quality criteria Engage in architecture-related conversations, contributing viewpoints that influence data project direction Assess code developed by fellow engineers, offering practical feedback that maintains dependable engineering practices Investigate and work through intricate technical issues that surface during development and data processing Support junior colleagues' growth by sharing knowledge that reinforces their technical capabilities Participate in planning efforts, assisting with scope clarification and providing reliable time estimates Keep up with changing technology trends and incorporate worthwhile approaches into regular tasks Keep clear documentation of major technical decisions and data workflows to support lasting system stability Work in partnership with stakeholders to establish defined objectives and confirm work meets expectations Requirements At least three years of applicable, relevant professional experience Functional knowledge of AI principles and tools, used to enhance data-oriented solution development Advanced skill in Python for building and sustaining data processing applications Background working with Apache Kafka Streams for handling real-time streaming data pipelines Practical experience with Apache Flink for processing and examining large-scale streaming information Hands-on background operating within an Amazon Web Services cloud environment Skilled in using SQL to organize, manage, and extract data from relational databases Familiarity with NoSQL database systems for handling unstructured and semi-structured data types Understanding of CI/CD practices supporting consistent, automated rollout of software and data pipelines Strong background in Data Software Engineering, developing scalable and dependable data-focused systems Awareness of SDLC Methodologies and their use in enabling organized, efficient project management Experience working in Agile settings that support iterative, team-oriented development practices Confident English communication skills at a B2 level or higher