TetraScience

Data Engineer

• Engage directly with customers onsite a couple of days per week in the Frankfurt Region
• Build strong customer relationships and understand scientific data challenges and requirements
• Design and implement extensible, reusable data models for scientific use cases
• Translate scientific data workflows into robust solutions using the Tetra Data Platform
• Own, scope, prototype, and implement data and AI/ML solutions
• Develop Python-based parsers
• Integrate lab software such as ELN/LIMS via APIs
• Build data visualizations and applications in Python using Streamlit, holoviews, and Plotly
• Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers to develop and deploy models
• Interrogate proprietary instrument output files programmatically
• Iterate with scientific end users and technical stakeholders through demos and meetings to drive adoption
• Communicate implementation progress and deliver demos to customer stakeholders
• Collaborate with the product team to build and prioritize the roadmap based on customer pain points
• Learn new technologies, including AWS services and scientific analysis applications, to develop and troubleshoot use cases

Scientific Data Architect

Backend Engineer

• Own the platform architecture, evolution and growth scaling across Enterprise Platform, Scientific Search, AI/ML Ops, Developer Platform, Developer Productivity, Lakehouse Platform, Partner Integrations and Cloud Infrastructure.
• Set technical direction, own the decisions that cross team boundaries, and close architectural gaps before they become business risks.
• Oversee enterprise Platform, Scientific Search, AI/ML Ops, Developer productivity, Lakehouse platform, and Cloud Infrastructure.
• Ensure operational excellence based on a clear O11y architecture rolled out, with every production service having SLOs defined, monitored and managed.
• Achieve strong product-market fit and traction while expanding industry partnerships and developer experience.

Scientific Data Architect

Principal Architect – Platform, Data Lake