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About the Role

Our team supports clients in making strategic decisions regarding AI & Data, from defining AI & Data strategy to implementing large-scale data platforms, visual analytics programs, and introducing smart "Age of With" solutions.

Responsibilities

• Actively participate in agile, interdisciplinary project teams and support the implementation of data and AI solutions in daily business.
• Analyze data, requirements, and existing solutions, and prepare results in a structured manner for the project team and the client.
• Implement technical concepts under the guidance of experienced colleagues, e.g., in the development of ETL pipelines, the introduction of cloud analytics solutions, or the setup of state-of-the-art AI solutions.
• Support the use and further development of CI/CD pipelines and the automation of development and deployment processes.
• Contribute to the research, evaluation, and prototypical implementation of new data engineering and AI technologies.

Requirements

• At least one year of relevant professional experience in implementing modern data platforms, analytics, or AI solutions, ideally in hybrid technology stacks with components such as Azure, AWS, GCP, Databricks, or Snowflake.
• Completed studies in (Business) Informatics, (Business) Engineering, Economics with a focus on Informatics, or a comparable degree program.
• Programming skills in Python, Java, or Scala, as well as experience with SQL.
• Basic knowledge of agile working methods and initial experience with methods and concepts such as Scrum, DevOps, or CI/CD are advantageous.
• Willingness to travel.
• Very good written and spoken German (C1) and English.

Skills

• Data platforms
• Analytics solutions
• AI solutions
• Azure
• AWS
• GCP
• Databricks
• Snowflake
• Python
• Java
• Scala
• SQL
• Agile working methods
• Scrum
• DevOps
• CI/CD

Location

• Berlin
• Dresden
• Düsseldorf
• Frankfurt (Main)
• Hamburg
• Hannover
• Köln
• München
• Stuttgart

Work Type

• Mobile Working
• Part-time
• EU Remote Working

Experience Level

• At least one year of relevant professional experience

Education Level

• Completed studies in (Business) Informatics, (Business) Engineering, Economics with a focus on Informatics, or a comparable degree program.

Benefits

• Company smartphone for private use
• Bicycle leasing
• Corporate Benefits
• Mobile Working & Part-time
• EU Remote Working
• Sabbaticals
• Employee events
• Well-being offers (e.g., health days, collaborations with fitness providers)
• Family service
• Excellent further training at Deloitte University, in online and offline seminars, and as part of professional qualification

About the Company

• We support clients in making strategic decisions regarding AI & Data.
• Our team supports clients from the definition of the AI & Data strategy through the implementation of large-scale data platforms and visual analytics programs to the introduction of smart "Age of With" solutions.
• We offer exciting tasks in an innovative environment with highly motivated colleagues.
• We promote an inclusive corporate culture through our diversity and inclusion employee networks.