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Data Engineer for Research Data Management Team
7 days ago
About Us
Danmarks Tekniske Universitet (DTU) is a leading research and education institution in Europe, focused on tackling sustainability challenges using biology. We develop technology for people, creating value using science and engineering to benefit society.
We are looking for a skilled Data Engineer to join our Research Data Management Team. As a data engineer, you will play a crucial role in designing, developing, and maintaining vital data infrastructure that supports our groundbreaking research.
Job Description
- Design, build, and maintain data pipelines to ensure seamless data flow.
- Develop and optimize ELT processes, ensuring data integrity and quality.
- Collaborate with the Data Science team and researchers to understand their requirements and translate them into technical specifications and model designs.
- Maintain and support our Azure datalake infrastructure, providing excellent user experience.
- Monitor and promote best practices for Azure resource usage, ensuring efficient and cost-effective operations.
- Document infrastructure-related solutions and guidelines, serving as a knowledge hub for the team.
- Teach Azure-related courses to our researchers, empowering them with skills and knowledge.
Requirements
- A Master's or PhD degree in Computer Science, Software Engineering, or a related field.
- Several years of relevant work experience, preferably in cloud environments.
- Expertise in Microsoft Azure, Python, Jira, Docker, Git, GitHub, and database programming.
- Experience with agile project management and workflow management systems.
- Familiarity with Nextflow and other related tools.
What We Offer
- Flexibility in working hours and tasks, allowing you to balance work and life.
- Continuous education and development opportunities, helping you grow professionally.
- Social activities at both center and team levels, fostering a sense of community.
- The chance to be part of a world-class research center, tackling pressing sustainability challenges.
