Located in Denmark, this Senior DevOps Engineer has expertise in Cloud Security, GCP, and CI/CD. They focus on implementing infrastructure-as-code practices, securing cloud systems, and driving the automation of complex workflows.
Location: Denmark
Mid-Level DevOps Engineer
From Denmark, this Mid-Level DevOps Engineer specializes in GCP, Helm, and Kubernetes. Focused on automating processes, enhancing cloud security, and improving deployment pipelines for efficient and secure infrastructure management.
Junior DevOps Engineer
From Denmark, this Junior DevOps Engineer has experience with Git, Jenkins, and Azure. They thrive on building scalable infrastructure and automating processes for high-performance systems in cloud environments.
Senior Data Scientist
A seasoned Senior Data Scientist in Denmark, specializing in AI-based automation, strategic data governance, and business intelligence. Adept at leading machine learning teams, integrating data-driven methodologies, and driving digital transformation.
Mid-Level Data Scientist
A highly analytical Data Scientist in Denmark with experience in time series forecasting, deep learning, and database management. Proficient in cloud platforms like Azure, scalable computing with Dask, and real-time data processing.
Junior Data Scientist
A resourceful Junior Data Scientist in Denmark with a strong command of Python, R, and data visualization. Eager to build predictive models, analyze datasets, and develop data-driven insights using modern analytics tools.
Senior Data Engineer
A Denmark-based cloud computing expert specializing in AWS, Hadoop, and distributed data engineering, ensuring high-performance solutions for enterprise-scale applications.
Mid-Level Data Engineer
With a strong foundation in SQL and data warehousing, this Denmark-based professional builds optimized ETL pipelines and scalable cloud data infrastructures.
Junior Data Engineer
Based in Denmark, this Junior Data Engineer is skilled in Python, SQL, and AWS, having implemented scalable data pipelines in cloud environments. They are experienced in Docker for containerizing applications and Git for source control. Their background in ETL processes and data warehousing makes them a valuable asset for data engineering teams.