Student - Security IT - AI Engineer (f/m/d)
# Student - Security IT - AI Engineer (f/m/d) **Deutsche Börse** · Praha · `On-site` 🕒 **Статус:** *Опубликовано: вчера* · *Источник: Indeed* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Python]` `[Go]` `[Kafka]` `[AWS]` `[GCP]` `[Azure]` `[REST]` `[ML]` `[AI]` --- ### About the Role Build the future of financial markets. Build yours. Ready to make a real impact in the financial industry? At Deutsche Börse Group, we'll empower you to grow your career in a supportive and inclusive environment. With our unique business model, driven by 16,000 colleagues around the globe, we actively shape the future of financial markets. Join our One Global Team! Want to learn more? Who we are Deutsche Börse Group is one of the world’s leading exchange organisations and an innovative market infrastructure provider. With our products and services, we ensure that capital markets are fair, transparent, reliable, and stable. Together, we develop state-of-the-art IT solutions and offer our IT systems all over the world. Play a key role in our mission: to create trust in the markets of today and tomorrow. Prague Your career at Deutsche Börse Group Your Area of Work We are a cutting-edge technology company dedicated to delivering innovative solutions in the field of cybersecurity. Our team is composed of highly skilled professionals who are passionate about securing digital environments and protecting sensitive information. Join us and be part of a dynamic and forward-thinking organization that values creativity, expertise, and a commitment to excellence. As a Cybersecurity AI Solutions Student, you’ll help design and build multi-agent AI systems that automate real security operations — from vulnerability triage and investigation through governed remediation. You’ll work hands-on with modern agent frameworks, cloud-native infrastructure, and production security tooling alongside experienced engineers. Main Tasks & Responsibilities - Support Data Pipeline Development – Assist in building scalable data pipelines for Celonis process miningacross financial services functions. - Work on Process Mining Models – Help develop and optimize models tailored to financial workflows usingCelonis - Enable Data Integration – Contribute to integrating live data streams and learn about technologies likeApache Kafka and Celonis connectors - Assist in Automation – Support the design and implementation of automated responses using Celonis ActionFlows - Collaborate with Teams – Work with analysts and subject matter experts to understand business requirementsand translate them into data models and KPIs - Ensure Data Quality – Learn best practices for data validation and monitoring to maintain data integrity - Optimize Performance – Gain exposure to tuning Celonis queries and dashboards for real-time analytics - Documentation & Knowledge Sharing – Help maintain clear documentation and assist in training sessions forstakeholders Your profile - Enrolled in a degree programme in Computer Science, AI/ML, Cybersecurity, or a related field. - Passion for AI and a hunger to learn cutting-edge agentic and generative AI techniques. - Programming proficiency in Python; experience with at least one agent/LLM framework (e.g. LangChain, Google ADK, CrewAI, AutoGen) is a strong plus. - Familiarity with cloud platforms (GCP preferred, AWS/Azure acceptable) and containerised deployments. - Basic understanding of cybersecurity concepts (vulnerabilities, network security, identity and access management). - Strong problem-solving skills and an analytical mindset. - Creative thinker who can work under time pressure and iterate quickly. - Team player with clear communication skills — comfortable working in an international, English-speaking environment. - Dedicated, self-motivated achiever who is committed to success. Nice to have - Experience with API integrations (REST, webhooks, gRPC). - Exposure to security tooling (vulnerability scanners, SIEM, ticketing systems). - Knowledge of infrastructure-as-code or CI/CD practices. You can look forward to our benefit package - Hybrid Work and Flexible working hours - Health & Wellbeing - fully covered Multisport card - Meal allowance for each working day (paid directly to your salary) - Flexible Benefit Account (Pluxee) - 300 per month - Referral bonus - for a successful recommendation of your friend worldwide Why Deutsche Börse Group? We are committed to providing a work environment where everyone feels welcome and can reach their full potential. Our standards go far beyond simply matching candidates with the right position. Mobility We enable you to move freely with our job tickets, job (e-)bikes and free parking opportunities. Work environment Collaboration, communication, or deep focus – in our modern office buildings you will find the perfect work environment. Free drinks and food and meal allowances included. Health and wellbeing We care for your health and wellbeing and besides various health promotion measures we offer you a group accident insurance and additional insurance offers at discounted rates. Financial stability We provide financial stability by offering attractive salaries, company pension schemes, participation in our Group Share Plan, as well as bonuses, subsidies and discounts. Hybrid work Collaborate and exchange on-site or work remotely several days a week in line with business needs and local regulations. Our hybrid working model combines the best of both worlds. Flexible working hours We want your job to fit your life situation and offer flexible working time models, childcare allowance, or the possibility to study alongside your job. Internationality Our market infrastructures are globally connected. Working with us means collaborating with like-minded colleagues across over 60 locations from more than 100 nations. Development We promote individual development by offering internal development programmes, mentoring, further education and training budgets. Contact Recruiting Team Take your career to the next level with us and embrace new challenges! +496921111810 Our Recruiting Team is looking forward to your call or e-mail.
Наблюдалась 2026-10-15, впервые 2026-10-14, источник — Indeed.