Data Engineer: Industrial Biotech & AI Research

Vttresearch; Espoo; Hybrid; EUR 60,000 - 80,000; Full time

Job summary

VTT is looking for a Data Engineer to design, implement, and maintain scalable data management and integration solutions for industrial biotechnology research. You will connect laboratory, process, analytical, and computational data to ensure data can be collected, managed, and reused throughout its lifecycle.

You will collaborate with researchers, lab professionals, platform engineers, and AI experts to build interoperable, FAIR-aligned data ecosystems that enable advanced analytics and

Qualifications

• Experience in designing data pipelines linking laboratory instruments, bioprocess systems, analytical platforms, and data management services.
• Experience with APIs, ETL/ELT pipelines, workflow automation, databases, and data integration technologies.
• Understanding metadata, data governance, data quality, and FAIR principles.

Responsibilities

• Design and implement data pipelines linking laboratory instruments, bioprocess systems, analytical platforms, computational environments, and data management services.
• Automate collection, validation, transformation, and delivery of experimental and process data for insights and impact.
• Develop APIs, integrations, metadata practices, and reusable data services.
• Build scalable data processing environments for biotechnology research and real-time decision support.
• Improve interoperability between research infrastructures, platforms, and digital services.
• Implement data quality controls and traceable data flows in line with FAIR and responsible data management.

Skills

Data engineering

Data architecture

Python

APIs

ETL/ELT pipelines

CI/CD

Cross-disciplinary collaboration

Education

Higher-education degree in data engineering or related field

Tools

Cloud-native platforms

Container-based data platforms

Job description

VTT is looking for a Data Engineer to design, implement, and maintain scalable data management and integration solutions for industrial biotechnology research. You will connect laboratory, process, analytical, and computational data to ensure data can be collected, managed, and reused throughout its lifecycle.

You will collaborate with researchers, lab professionals, platform engineers, and AI experts to build interoperable, FAIR-aligned data ecosystems that enable advanced analytics and