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Data Engineer - Data Refinery Lab - Job Opportunity at TU Delft (Delft University of Technology)

Delft, Netherlands
Full-time
Senior
Posted: January 28, 2025
On-site
EUR 3,378 - 5,331 per month

Benefits

Comprehensive academic environment with research opportunities
Work-life balance focus typical of Dutch institutions
Professional development through academic collaborations
International academic network access
Modern research facilities and resources

Key Responsibilities

Design and implement FAIR data pipelines for built environment research
Develop data management strategies aligned with FAIR principles
Create automated workflows using Python and AI technologies
Contribute to scientific publications and research dissemination
Conduct workshops and training sessions for faculty and students

Requirements

Education

Master's or PhD degree in Computer Science, Data Engineering, or related field

Experience

3 years minimum without PhD

Required Skills

Python programming Big data frameworks (Spark) Database management (PostgreSQL, MySQL) Data quality control Version control (Git) CI/CD practices Linux server administration FAIR data principles Communication and collaboration skills
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Sauge AI Market Intelligence

Industry Trends

Academic institutions are increasingly investing in data infrastructure for research accessibility and reproducibility Growing emphasis on FAIR principles in research data management across EU institutions Rising demand for specialized data engineers in academic research settings

Salary Evaluation

The offered salary range is competitive for academic positions in the Netherlands, aligned with senior technical roles in Dutch universities

Role Significance

Likely part of a small specialized team (3-5 members) within the Data Refinery Lab
Senior technical position with significant impact on research infrastructure and methodologies

Key Projects

Research data infrastructure development FAIR compliance implementation Educational technology integration Cross-departmental data standardization initiatives

Success Factors

Strong technical expertise combined with research understanding Ability to bridge academic and technical requirements Experience with research data management best practices Collaborative approach to working with researchers

Market Demand

High demand position due to increasing focus on data-driven research in architecture and built environment sectors

Important Skills

Critical Skills

FAIR data principles implementation expertise is crucial for research accessibility Python development skills for research tool creation Data pipeline design for complex research data types

Beneficial Skills

Knowledge of architectural data types and formats Experience with spatial data processing Understanding of academic research workflows

Unique Aspects

Rare combination of architecture and data engineering focus
Direct impact on future of built environment research
Strong connection between technical implementation and academic research

Career Growth

2-4 years typical progression timeline in academic technical leadership roles

Potential Next Roles

Lead Data Architect in Academic Research Research Technology Director Head of Research Data Infrastructure

Company Overview

TU Delft (Delft University of Technology)

TU Delft is one of Europe's leading technical universities with strong emphasis on innovation and research excellence

Top-tier technical university with global recognition in architecture and engineering
Major influence in European academic research and technology innovation
Collaborative academic environment with strong focus on innovation and research impact
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