Do you like to steer a development team and enjoy developing technical solutions while also working closely with business departments and stakeholders? Are you excited about designing modern data platforms and turning raw data into a reliable basis for decision making? Do you want to build data pipelines, models, and architectures that our customers actually use in their day-to-day work?

(SENIOR) CONSULTANT DATA ENGINEERING & DATA MANAGEMENT (f/m/d)

• You support our customers in the conception, implementation, and productive use of modern data platforms and data management solutions
• You design data warehouse and lakehouse architectures from the initial idea through to live operation
• You develop and operate robust ETL/ELT pipelines and ensure clean monitoring and reliable error handling
• You model data and implement high performance data structures for analytics and BI applications
• In your role, you implement data quality and governance pragmatically and create transparency and traceability along data flows
• You provide data for analytics and BI and support the implementation of dashboards and reports
• In close collaboration with business departments, you gather requirements in workshops and translate them into viable technical concepts that are implemented by you or your technical colleagues
• You act as a reliable point of contact for the customer and create enthusiasm for topics around business intelligence

• A completed degree in business informatics, computer science, data/analytics, industrial engineering, business administration with a focus on data management, or a comparable qualification
•  At least three years of practical experience in data and project environments
• Implementation experience in at least one BI tool, ideally Power BI, Qlik Sense, or SAC, and the ability to represent modern BI solutions
• Data modelling and the development of modern ETL processes have been part of your project experience, especially regarding data from SAP ERP / SAP S/4HANA
• Very good SQL skills or experience with Alteryx, Knime, or similar tools complement your ETL understanding
• You have experience in clean data modeling and performance fundamentals as well as strong, project proven Python skills for data processing and automation
• A solid understanding of data warehouse concepts and modern lakehouse architectures as well as initial experience with analytics and BI setups
• Enjoyment of consulting, a structured way of working, and teamwork
•  Very good German and good English skills

• A varied role with a high level of responsibility

• Continuous learning and development opportunities

• A mentoring programme

• A friendly, close‑knit and supportive working environment

• Team events and company retreats

• Mobility benefits

• Great, centrally located office in Munich

• Free drinks, fruit and yoghurts in the office

• Company laptop and company mobile phone

• Sports and fitness offers