Data Engineer, Industrial Biotechnology

Are you interested in transforming industrial biotechnology through data and looking for a new job opportunity? Would you like to develop innovative technology with superb colleagues who are top experts in their fields? Do you want to work at the interface of research, digital technology, and industry? VTT might be just the place for you. VTT is one of the leading applied research organisations in Europe. What unites us are curiosity, a passion for learning, and a purpose: to solve the biggest challenges of our time and turn them into sustainable growth and well-being. Our cross-disciplinary community of over 2000 brilliant minds from 55+ different nationalities focuses on creating impact through science-based innovation. Get to know us further by exploring VTT's tech & infra . Join us as Data Engineer! We are now looking for a Data Engineer to join our Research Digital Enablers team. In this position, you will design, implement, and maintain scalable data management and integration solutions for industrial biotechnology research. You will be working closely with industrial biotechnology and food research field and you will connect laboratory, process, analytical, and computational data and help ensure that research data can be collected, managed, and reused efficiently throughout its lifecycle. Our team, works on supporting research digitalization. Together with researchers, laboratory professionals, platform engineers, and AI experts, we build reliable, interoperable, and FAIR-aligned data ecosystems that strengthen reproducibility, enable advanced analytics and AI, and accelerate science-based innovation. Your responsibilities as Data Engineer: Design and implement data pipelines linking laboratory instruments, bioprocess systems, analytical platforms, computational environments, and data management services. Automate the collection, validation, transformation, and delivery of experimental and process data to enable insight and impact. Develop APIs, integrations, metadata practices, and reusable data services. Build and maintain scalable data processing environments for biotechnology research and real-time bioprocess decision support. Improve interoperability between research infrastructures, platforms, and digital services. Implement data quality controls and traceable data flows in line with FAIR principles and responsible research data management as well as data reutilization Help make data gathering and management compatible with machine learning and AI applications. Enable process monitoring, optimization, trend analysis, anomaly detection, and scientific discovery through high-quality data and metadata. Act as the technical hands-on expert on data pipelines, integration, and platforms for biotechnology research digitalization. Collaborate with multidisciplinary experts to translate research needs into secure, maintainable, and practical technical solutions. Who we are looking for: You have strong experience in data engineering, data architecture, and delivering production-quality data solutions. You have good hands-on skills in Python or comparable programming and scripting languages.You have experience with APIs, ETL/ELT pipelines, workflow automation, databases, and data integration technologies. You understand metadata management, data governance, data quality, and FAIR principles. You have experience with version control, and you understand CI/CD practices. You are able to collaborate across research, laboratory, software, data, and AI disciplines. You have a relevant higher-education degree or equivalent experience in data engineering, software engineering, or a related field. We appreciate: Familiarity with laboratory information systems, research instruments, sensors, bioprocess data, and related data formats Experience with or equivalent knowledge of biotechnology. Knowledge of scientific data lifecycles and research data management practices. Experience with cloud-native or container-based data platforms and modern platform engineering practices. Understanding machine-learning data needs Experience supporting AI-enabled workflows Familiarity with global standards for trusted data sharing and other data space initiatives. As a person, we hope that you are: A curious and collaborative problem solver who enjoys turning complex research needs into robust technical solutions. You work in a flexible and independent manner, communicate clearly across disciplines, and take a long-term perspective on maintainability and reuse. We appreciate passion for learning and the ability to find beyond-the-obvious solutions. With VTT, you’ll enjoy: Visionary work in technology. You will work at the intersection of industrial biotechnology, digital research infrastructure, data engineering, and AI, creating solutions that support sustainable growth and positive impact. Fascinating projects and an excellent research environment. You will contribute to cutting-edge academic research and applied customer projects