• Supporting the development of backend services that power our meter data integration platform • Connecting with external systems including supplier APIs and SFTP portals • Contributing to the development and maintenance of integrations with third-party supplier and grid operator APIs • Supporting the implementation of data exchange mechanisms with SFTP portals • Developing and maintaining backend APIs using Python (FastAPI) • Working with SQLAlchemy to manage database operations • Gaining practical experience implementing OAuth 2.0 and other authentication mechanisms • Writing unit and integration tests to verify the correctness of integration components • Collaborating with senior engineers, product managers, and cross-functional teams

Role Description For our client in Geneva, we are looking for a Backend Python Engineer to join an international scientific environment and contribute to the development and modernisation of large-scale information platforms. In this role, you will work on backend services, data pipelines and search technologies that support scientific discovery and open access for researchers worldwide. As part of the Tools and Services team, you will help evolve platforms that manage scientific publications, research data and digital archives. Your focus will be on building scalable backend solutions, improving data processing workflows, enabling AI-driven access to scientific content and ensuring reliable production systems. - Design, develop and operate backend services using Python - Build and maintain scalable data ingestion and processing pipelines for scientific metadata and full-text content - Modernise existing ingestion workflows and migrate processes to Apache Airflow - Design and implement robust REST APIs for internal applications, partners and external tools - Develop and optimise search capabilities using OpenSearch, including indexing strategies and relevance tuning - Support the integration of AI-driven retrieval solutions and Model Context Protocol services - Improve data quality through enrichment, deduplication and automated processing workflows - Contribute to the modernisation of digitisation and archival services - Support large-scale data migrations while ensuring metadata consistency and quality - Develop containerised applications and support modern deployment processes - Implement automated testing, code reviews, monitoring and CI/CD practices - Contribute to open-source software and support the Open Science community Qualifications - University degree in Computer Science or a related field with relevant professional experience - Strong professional experience in backend development with Python - Hands-on experience with Python frameworks such as Django, Flask and FastAPI - Solid experience designing and developing REST APIs - Strong understanding of relational databases such as PostgreSQL and document databases - Practical experience with search technologies such as OpenSearch / Elasticsearch, including indexing and relevance tuning - Experience with Docker, Kubernetes, Git and CI/CD pipelines - Knowledge of asynchronous programming, automated testing and software engineering best practices - Experience with large-scale data processing, metadata-driven systems and data pipelines - Experience with Apache Airflow or similar workflow orchestration tools is an advantage - Knowledge of AI-driven retrieval systems and AI/LLM integrations is a plus - Familiarity with digital archiving, content management systems or scientific information platforms is an advantage - Strong analytical and problem-solving skills with a focus on developing reliable, scalable and maintainable software solutions - Proactive, quality-oriented team player with strong ownership and ability to work effectively in multicultural environments - Excellent spoken and written English skills Company Description Die Coopers Group AG ist eine agile Schweizer Recruiting Agentur, die Spezialisten und Führungskräfte in den Bereichen IT, Life Sciences, Engineering und Finance vermittelt. Mit flexiblen Ansätzen bringen wir Kandidat:innen und Unternehmen zusammen, die nicht nur fachlich, sondern auch menschlich zusammenpassen.

• Innovation: we operate as consultants and developers of Industry 4.0 solutions (big data, artificial intelligence, IoT...) • Technology Consulting: we provide both outsourced consulting and custom project development • Marketing: we work with public administration and corporate clients, offering digital marketing, social marketing, brand awareness, and other specialized marketing services • Digital for SMEs: we design digital solutions for SMEs: e-commerce, mobile apps, logo creation, basic marketing, and development of ideas

• Design, develop and operate backend services using Python • Build and maintain scalable ingestion and processing pipelines for scientific metadata and full-text content • Modernize existing intervention workflows and migrate processes to Apache Airflow • Design and implement robust REST APIs for internal applications, partners and external tools • Optimize search capabilities with OpenSearch, including indexing strategies and relevance tuning • Support integration of AI-powered retrieval solutions and model context logging services • Improve data quality through enrichment, deduplication and automated processing workflows • Contribute to the modernization of digitization and archiving services • Execute large-scale data migrations while ensuring metadata consistency and quality • Develop containerized applications and support modern deployment processes • Implement automated tests, code reviews, monitoring and CI/CD practices • Contribute to open-source software and support the open-science community.