Data Engineer

Project overview

For our client, we are looking for a senior Data Engineer / Squad Lead with experience in Allotrope Data Schemas, data modeling, and data quality verification, who will lead the delivery of scientific data converters in a pharmaceutical environment.

Project requirements

• development and implementation of ASM converters for processing scientific data according to Allotrope standards
• ensuring scientific correctness, technical quality, and compliance of delivered solutions with data governance and compliance requirements
• leading the delivery of converters from requirements gathering through semantic modeling and validation to release preparation and deployment
• defining solution scope, validation strategy, acceptance criteria, and test scenarios
• coordinating data mapping to Allotrope schemas and ontologies
• collaboration with scientists, domain experts, Semantic Engineers, development, Quality Engineering, product team, and external vendors
• coordinating the work of the technical team, mentoring, and removing delivery impediments
• improving validation procedures, documentation, and reusable test materials
• collaboration with 1 day per week onsite in Prague, other days remote exclusively from the Czech Republic
• extensive experience with:
• data engineering, data integration, data management, or a related field for at least 6 years
• coordinating small technical teams, prioritizing work, and managing delivery according to project milestones
• experience with:
• Allotrope Data Schemas
• ensuring data quality, including defining solution scope, requirements, acceptance criteria, validation procedures, and test scenarios
• translating business or scientific requirements into scalable data solutions
• managing and documenting risks, issues, dependencies, decisions, and stakeholder expectations
• collaborating with business and technical teams, domain experts, and external vendors
• advanced knowledge of:
• data modeling, data mapping and transformation, data quality, and data traceability
• knowledge of:
• software development lifecycle, data lifecycle management, and data governance principles
• English for team and stakeholder communication
• advantageous:
• experience in the pharmaceutical industry and knowledge of drug discovery processes
• understanding of scientific data and laboratory workflows

Project details

• Start: 16.11.2026 or by agreement
• Duration: 12 months with the possibility of extension
• Remote: hybrid
• Location: Prague, CZ, CZ
• Rate: 875-1000 EUR/h
• Languages: English