About this role
Role Name: Senior Backend Software Engineer, Python / Big Data / AI Code Tools Location: Leuven, Belgium, Brusselsesteenweg 100 Period: 03/08/2026 to 02/08/2028 Engagement Type: Full-time, Onshore Language Requirement: English Main Responsibilities Design and implement complex requirements for large-scale software frameworks. Develop and maintain libraries, frameworks, and services for big data processing. Build and improve components used for data pipelines on the Edison big data platform. Create AI code tools, agents, skills, plugins, and policies. Work on data lake access, data movement, GDPR compliance, retention, cleanup, metadata, and data lineage capabilities. Give input on framework design and architecture. Help resolve cross-team functional and technical dependencies. Maintain and support existing data engineering products. Contribute to the creation and onboarding of new products. Collaborate with other Edison teams to align solutions with the wider platform. Communicate with both technical and non-technical stakeholders. Create and execute test cases. Conduct self-code reviews and peer code reviews. Resolve incidents and defects and track them to closure. Execute technical integration testing with interfacing applications. Required Skills and Expertise Must Have 5 to 7 years of software engineering experience. Strong Python programming experience. Strong understanding of programming design patterns and best practices. Experience in backend software development. Strong technical analysis and technical design skills. Experience with AWS cloud environments. Experience with AWS CI/CD tooling. Knowledge of AI code tools such as Claude Code or GitHub Copilot. Experience with CI/CD tools such as Jenkins, Bitbucket, GitHub, or Concourse. Good debugging and problem-solving skills. Ability to deliver high-quality software and releases. Ability to balance tactical delivery with strategic platform vision. Strong collaboration and cross-team communication skills. Ownership mindset and decision-making ability. Mentoring capability. Strong English communication. Preferred Experience Experience with big data platforms. Experience with data engineering frameworks and reusable platform components. Experience with Spark, Pandas, or Polars. Experience with Airflow scheduling. Experience with data lake platforms. Experience with metadata, data lineage, data retention, and data cleanup capabilities. Experience with GDPR-related data processing requirements. Experience building frameworks used by data engineers or data scientists. Experience supporting AI workloads on cloud platforms. Experience working in Agile product or platform teams.