Data engineer for the Research Data Management team | Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark | Technical University of Denmark

Position:	Data engineer for the Research Data Management team
Institution:	Technical University of Denmark
Location:	Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties:	Design, build, and maintain data pipelines; Develop and optimize ELT (Extract, Load, Transform) processes, and ensure data integrity; Collaborate with the Data Science team and researchers to understand their requirements and translate these into a technical specification and model design; Maintenance for our Azure datalake infrastructure; Providing support for our Azure cloud users; Monitor and promote best practices for Azure resource usage
Requirements:	A Master’s or PhD degree within Computer Science, Software Engineering or similar; Some years of relevant work experience; Expertise in cloud environments (we use Microsoft Azure); Good working knowledge of Python, Jira, Docker, Git, and GitHub; Database programming (e.g. PostgreSQL, MySQL)

Text:	Data engineer for the Research Data Management team Design, build, and maintain data pipelines; Develop and optimize ELT (Extract, Load, Transform) processes, and ensure data integrity; Collaborate with the Data Science team and researchers to understand their requirements and translate these into a technical specification and model design; Maintenance for our Azure datalake infrastructure; Providing support for our Azure cloud users; Monitor and promote best practices for Azure resource usage A Master’s or PhD degree within Computer Science, Software Engineering or similar; Some years of relevant work experience; Expertise in cloud environments (we use Microsoft Azure); Good working knowledge of Python, Jira, Docker, Git, and GitHub; Database programming (e.g. PostgreSQL, MySQL)