Senior Data Software Engineer

We are hiring a Senior Data Software Engineer to deliver resilient data platforms while applying practical AI across data-driven solutions. You will build and evolve streaming pipelines with Python, Apache Kafka Streams, and Apache Flink on Amazon Web Services, partnering closely with teams and stakeholders. Responsibilities Design and build scalable, maintainable data solutions aligned with business and technical goals Collaborate with cross-functional teams to deliver on time and meet agreed quality standards Contribute to architecture discussions and help steer data-focused project direction Review peer code and provide actionable feedback that reinforces strong engineering practices Investigate and resolve complex technical issues across development and data processing lifecycles Support junior team members by sharing knowledge that strengthens their technical skills Participate in planning sessions by shaping scope and providing accurate time estimates Stay current with technology trends and apply useful approaches in day-to-day work Maintain clear documentation of key technical decisions and data workflows for long-term stability Work with stakeholders to define clear objectives and ensure outcomes match expectations Requirements Minimum 3 years of relevant professional experience Practical knowledge of AI concepts and tools applied to improve data-driven solution design Strong proficiency in Python for developing and maintaining data processing applications Hands-on experience with Apache Kafka Streams to run real-time data streaming pipelines Working knowledge of Apache Flink for large-scale streaming data processing and analysis Practical experience operating in an Amazon Web Services cloud environment Ability to use SQL to model, manage, and query relational databases Familiarity with NoSQL database technologies for unstructured or semi-structured data Understanding of CI/CD practices that support consistent, automated releases for software and data pipelines Solid background in Data Software Engineering with a focus on reliable, scalable data-centric systems Knowledge of SDLC Methodologies and how to implement them for structured, efficient delivery Experience working within Agile frameworks for iterative, collaborative development Fluent English communication skills at a B2 (Upper-Intermediate) level or higher