Backend Engineer

• Work with Autodesk Fusion’s API to access, manipulate, and visualize manufacturing data
• Develop and operate MCP servers connecting sustainability data services and APIs with Autodesk Fusion and other applications
• Create documentation and tests to support maintainability and scalability
• Participate in design reviews and contribute to UX improvements
• Work with extended teams including UX Design, Research, Product Management, and QA
• Integrate APIs from Autodesk Platform third-party vendors and ensure proper data flow
• Develop features supporting sustainable design and manufacturing, environmental-impact feedback, production optimization, material efficiency, and LCA reporting

Backend Developer – Fusion Sustainability Insights

• Develop and maintain drivers for CrateDB, including JDBC and Python/SQLAlchemy
• Build connections to external tools such as Grafana, Tableau, and Airflow
• Develop and maintain internal administrative tools, including crash CLI and Admin UI
• Improve PostgreSQL compatibility of CrateDB and its ecosystem
• Develop migration tools to and from other database systems and storage formats
• Write and maintain technical documentation, including reference architectures and integration examples
• Work and interact with the open source community and technical partners on joint projects
• Support Product Managers with technical requirements
• Work directly with founding engineers on projects managed on public GitHub
• Contribute to third-party applications and frameworks such as SQLAlchemy, pandas, Dask, Apache Kafka, Flink, Superset, Airflow, and Grafana

Senior Ecosystem Database Engineer

• Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
• Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements
• Ensure reliable extraction from dynamic and interactive web sources, adapting approaches for JavaScript-rendered content and changing site behavior
• Enforce data quality standards through validation checks, cross-source consistency controls, formatting specifications, and systematic verification prior to delivery
• Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
• Apply expertise in web scraping, data extraction, and data processing for the Tendem project
• Utilize tools such as Apify, OpenRouter, and other technologies alongside technical expertise and custom approaches

Senior Python Data Scraping Engineer

• Handle end-to-end data extraction workflows across complex websites
• Ensure complete coverage, accuracy, and reliable delivery of structured datasets
• Use tools and custom workflows to accelerate data collection, validation, and task execution
• Extract data from dynamic and interactive web sources, adapting to JavaScript-rendered content and changing site behavior
• Enforce data quality through validation checks, cross-source consistency controls, formatting specifications, and systematic verification
• Scale scraping operations for large datasets using efficient batching or parallelization
• Monitor failures and maintain stability against minor site structure changes
• Apply Python web scraping, data extraction, processing, automation, and LLM tools within the Tendem project
• Work independently to solve non-trivial problems and troubleshoot technical issues

Senior Python Data Scraping Engineer – Freelance

• Develop and implement maintainable, thoroughly tested backend services and full-stack applications, with a focus on Clean Code, TDD, and sound architecture
• Develop business-specific AI applications such as RAG systems, assistants, and generative text processing based on existing Large Language Models
• Use modern AI tools such as GitHub Copilot and Claude Code to increase development speed and quality
• Integrate AI models and services into existing systems and workflows
• Develop data integration solutions for continuous, automated data flows
• Prepare and process data for AI applications
• Design, document, and deploy clean APIs
• Build automated tests and CI/CD pipelines
• Continuously evaluate and improve software components and RAG pipelines
• Contribute to optimizing business processes and achieving strategic company objectives

Backend Engineer jobs in Austria

Backend Developer – Fusion Sustainability Insights

Senior Ecosystem Database Engineer

Senior Python Data Scraping Engineer

Senior Python Data Scraping Engineer – Freelance

AI Engineer – Backend