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About the Role

Bull develops high-performance, sustainable, and sovereign digital solutions, enabling nations and industries to maintain full control over their data and Artificial Intelligence. Our expert teams are at the forefront of High-Performance Computing, AI, and Quantum Technologies, pushing the boundaries of what's technologically possible.

Responsibilities

• Solve business problems using Big Data, develop effective solutions, and deploy ML models into production.
• Analyze customer requirements and develop suitable solution approaches with the team.
• Develop models, predictions, and algorithms using Python and PySpark, including data preparation and feature engineering.
• Conduct and evaluate Proof-of-Concepts (PoCs).
• Operationalize solutions (Git, CI/CD, Model Registry) for efficient daily use after successful PoCs.
• Qualify tenders from a technical perspective during pre-sales activities, analyze customer requirements, assess feasibility, and support offer creation for complex standard elements.
• Support new project acquisition, lead workshops, and proactively identify optimization and business opportunities in ongoing projects.
• Participate in subsequent sales activities.
• Communicate with both the business and project levels of the client side.
• Lead sub-projects and adhere to task area effort guidelines.
• Work on the implementation of solution components or functional modules of data analytics architectures within projects.
• Participate in conception, design, implementation, testing, and consulting.
• Support the implementation of solution components or functional modules.

Requirements

• Bachelor's degree or equivalent.
• Extensive professional experience (minimum 5 years in the relevant field).
• Extensive technology knowledge (e.g., Python (pandas, numpy, scikit-learn, TensorFlow, Pytorch), PySpark, SQL, Databricks, Apache Spark, Hadoop etc.).
• Very good knowledge of MS Office products (Excel, Word, PowerPoint, etc.).
• Very good communication skills in German and English.
• Teamwork, entrepreneurial thinking, independence, and motivation.
• Enjoy working in a team and independently developing new topics.

Skills

• Python
• PySpark
• SQL
• Databricks
• Apache Spark
• Hadoop
• pandas
• numpy
• scikit-learn
• TensorFlow
• Pytorch
• Jupyter
• Spark
• Data Warehousing
• Data Engineering
• Big Data
• MLOps
• AWS
• Azure
• GCP
• Computer Vision
• MS Office Suite

Location

• Germany-wide locations

Work Type

• Mobile work possible

Experience Level

• Minimum 5 years of professional experience

Education Level

• Bachelor or equivalent

Benefits

• Freedom and autonomy
• Opportunity to contribute to world-changing products, projects, and services
• Modern, agile working methods
• Innovation and growth environment
• Continuous learning and development opportunities
• National and international employee network support
• Trust and care
• Support for individual and team growth
• Focus on well-being
• Flexible working hours
• 30 days paid annual leave
• Opportunity for mobile work
• Inclusive work environment
• Attractive salary
• Additional social benefits

About the Company

• Bull represents a century of European innovation.
• We are part of a future-oriented work environment where experts develop high-performance, sustainable, and sovereign digital solutions.
• Our company is defined by its people: thousands of engineers, researchers, and passionate tech experts actively shaping the future of High-Performance Computing, AI, and Quantum Technologies.
• Our teams push the limits of technology, working on next-generation HPC architectures and Exascale supercomputers.
• We benefit from excellent research and development, over 1,600 patents, and unique end-to-end expertise across the value chain.
• Collaboration knows no boundaries, with teams networked across Europe, North and South America, and India.
• Our shared vision is responsible and sustainable innovation that creates real, measurable value for our customers.
• We work with structured and unstructured data (online and offline) to help clients understand their data.
• Project teams typically consist of 2-5 people (Analysts, Engineers, Data Scientists, Project Managers) working on long-term projects and shorter pilots.
• The results of our work optimize critical business functions for our clients and directly impact their economic success.
• We utilize predictive models, computer vision, and fraud detection technologies.

Equal Opportunity

• We welcome applications regardless of origin, religion, color, gender, age, disability, or sexual orientation.
• All recruitment decisions are based solely on qualifications, skills, knowledge, experience, and relevant business requirements.
• We value equal opportunities and welcome applications from people with disabilities.
• Candidates with disabilities and those with equivalent qualifications will be given preferential consideration in case of equal qualifications.