Intern or Working Student Data Analytics with Data Engineering focus (all genders)

Company Description

Roland Berger, founded in 1967, is the world's only leading management consultancy with European origins and German roots. We support major international industrial and service companies as well as public institutions in all aspects of corporate management - from strategic alignment to the introduction of new business processes and organizational structures. From the beginning we have worked in different languages and cultures. We value different perspectives and approaches and rely on the diversity of our employees. We look for and encourage authentic personalities with an entrepreneurial spirit. If you like to take the initiative and make a difference as part of a team, you've come to the right place.

Job Description

Our AI & Data expert team at RB Digital supports our customers from various industries along the entire value chain in dealing with data. In this context, data-driven solutions are developed for strategic business management. For example, complex data-driven products are developed, including machine learning. Building entire data infrastructures is also part of the service portfolio.

Support the AI & Data expert team at RB Digital in Munich, Frankfurt, Düsseldorf, Hamburg, Stuttgart or Berlin immediately as an intern (full-time) for at least 3-4 months or as a working student for 16-20 hours per week for at least 6 months.

Your tasks will be:

• Taking over internal tasks focusing on data architecture, data engineering and other data-driven topics
• Supporting internal projects for the development of tools along the entire ETL or ELT process
• Active participation in further development of our infrastructure using database technologies and cloud computing

Qualifications

• Degree (FH/University) in a quantitative field (Business Informatics, Computer Science, Physics, Mathematics), ideally first practical experience in data engineering’
• Enthusiasm for defining and implementing data management frameworks including data governance, metadata management, data lifecycle etc.
• Good knowledge of database technologies (e.g., Postgres, SQL Server, Cassandra, Redis) and ETL processes
• Solid knowledge of at least one programming language (e.g., Python, Scala, Java)
• Knowledge of Big Data technologies (e.g., Apache Hadoop Ecosystem, Apache Spark), cloud computing (e.g., AWS, Azure, Google Cloud Platform) and initial experience in SAP is an advantage
• Very good English and good German skills

Additional Information

Are you interested?

We are looking forward to receiving your complete application documents (resume as well as academic testimonials and work references). For further details on the position, please visit www.join.rolandberger.com. If you have any questions, please do not hesitate to contact Dongying Guo (+49 0160 744-5880).