Junior Data​/Cloud Engineer; m​/f​/d

The job description contains detailed responsibilities and expectations, but it has significant issues with repetition, irrelevant content, and formatting inconsistencies. To improve clarity and engagement, redundant sections should be removed, and the formatting should be standardized with appropriate use of HTML tags. The core responsibilities and requirements should be clearly highlighted without extraneous information about account management or unrelated benefits. Here's a refined version focusing on the essential job information:

• Analyzing, designing, developing, and optimizing cloud and on-premises solutions for analytical systems as part of consulting projects for well-known customers across various industries.
• Managing cloud migrations and/or integrating hybrid solutions.
• Implementing (cloud-based) data warehouse use cases with the latest technologies.
• Developing proof of concepts and showcases.
• Taking on some project management responsibilities in the medium term; conducting training sessions and workshops.

• University degree in a STEM field or equivalent.
• Motivation to familiarize yourself with cloud or data engineering with MS Azure, MS Fabric, AWS, GCP, Snowflake, Databricks, or other cloud technologies.
• Strong willingness to learn, proven potential, and enthusiasm for new topics and technologies in our consulting projects.
• Analytical and logical thinking, goal-oriented action, and the ability to work in a team.
• Business-fluent German and good English skills.

• Versatile training opportunities including certifications, workshops, webinars, and more.
• Promotion opportunities through our career paths.
• Optional equipment such as laptops, cell phones, and accessories.
• Hybrid and mobile working options.
• Attractive salary package.
• Social events like after-work gatherings, summer, and Christmas parties.