• Advance your career with exciting professional opportunities in our thriving company with a startup feel
• Add to your experience with our projects that focus on growth, have a positive impact, and truly matter
• Voice your unique ideas in a corporate culture defined by our entrepreneurial spirit, openness, and integrity
• Feel at home working with our helpful, enthusiastic colleagues who have great team spirit
• Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning)
• Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback)
• Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices
• Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace)
• Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided
• See another side of your coworkers at our frequent employee events and highly anticipated World Meeting and Holiday Party

Client & Team Collaboration

• Enable confident decision-making by ensuring stakeholders have access to complete, accurate, and relevant data tailored to their business context.
• Accelerate insight generation by transforming complex datasets into structured, actionable outputs that reveal hidden growth opportunities and performance levers.
• Increase operational efficiency and scalability by delivering automated, reliable data flows that support fast-changing business needs across platforms.
• Present technical concepts and recommendations to both technical and non-technical stakeholders, ensuring alignment with business objectives.
• Elevate strategic conversations through clear, intuitive visualizations that translate technical analysis into business language and executive-ready insights.

Data & Cloud Architecture

• Design and implement end-to-end data architectures on AWS, Azure, or GCP, ensuring robust data ingestion, storage, and governance.
• Collaborate with data science and engineering teams to optimize data pipelines and analytics workflows for AI/ML solutions.
• Establish data management best practices to ensure compliance, security, and high availability across the entire organization.

Infrastructure & CloudManagement

• Architect, deploy, and maintain scalable cloud environments to support mission-critical AI and machine learning applications.
• Define and drive cloud stack design and strategy, focusing on high availability, security, and cost-efficiency.
• Advising the implementation of infrastructure as code (IaC) principles, leveraging tools like Terraform or CloudFormation to ensure consistency and repeatability.

DevOps & MLOps Leadership

• Design, develop and manage robust CI/CD pipelines, enabling seamless deployment of AI/ML models into production.
• Orchestrate containerized environments (Docker, Kubernetes) for efficient application delivery and scaling.
• Establish MLOps best practices, including feature store management, model monitoring, and automated retraining.

Experience

• At least 6 years of relevant industry experience (with a minimum of 3 in a consulting capacity) covering cloud operations, data infrastructure, DevOps, and/or MLOps.
• Proven success in deploying production-grade data and AI/ML solutions.

Technical Proficiency

• Deep knowledge of cloud platforms (AWS, Azure, or GCP) and experience designing cloud-native architectures.
• Strong expertise in DevOps, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure automation (Terraform, CloudFormation, or similar).
• Hands-on experience building, deploying, and scaling high-availability environments for AI/ML workloads.

Operational Excellence

• Demonstrated ability to implement robust monitoring, logging, and security practices for data and infrastructure.
• Track record of optimizing system performance and reliability through proactive capacity planning and architectural enhancements.

Communication &Leadership

• Excellent communication skills, with the ability to convey technical concepts clearly to diverse audiences.
• Proven leadership in managing teams through complex infrastructure and data-centric projects, encouraging collaboration and innovation.

Educational Background

• A standout university degree in a relevant field, with fluency in business English and German.