Senior Python Engineer for AI & Data… at Deutsche Bank · Bucharest

Senior Python Engineer for AI & Data Platform (f/m/x) Location: Bucharest, 6A Dimitrie Pompeiu Blvd Job Description: DB Global Technology is Deutsche Bank’s technology centre in Central and Eastern Europe. Since its set-up in 2013, Bucharest Technology Centre (BEX) has constantly proven its capacity to deliver global technology products and services, playing a dynamic role in the Bank’s technology transformation. We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas. Your initial project will be a core AI & Data platform, designed to provide a best‑in‑class environment for building, running and scaling AI solutions. The platform provides tools, services, frameworks and data so teams can focus on solving business problems, not rebuilding infrastructure. Data Scientists building analytics, ML and GenAI solutions Engineers and Developers integrating AI into applications and workflows Business users consuming AI-enabled insights and services As a Senior Engineer, you will be responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. Responsibilities Data Pipeline Development & Optimization: Design, develop, and optimize complex data pipelines using Python and PySpark/Apache Spark for large-scale data processing, transformation, and ingestion. Workflow Orchestration: Implement and manage data workflows and dependencies using Apache Airflow to ensure efficient and reliable data delivery. Containerization & Orchestration: Deploy and manage data engineering workloads and applications within containerized environments using Kubernetes, ensuring scalability, resilience, and efficient resource utilization. CI/CD Implementation: Design and implement robust CI/CD pipelines for automated testing, deployment, and monitoring of data engineering solutions, promoting a culture of continuous delivery and quality. Data Lake & Storage Management: Work with modern data lake technologies, including Apache Iceberg, for efficient data storage, versioning, and schema evolution. Object Storage Integration: Utilize object storage solutions for managing and accessing large volumes of unstructured and semi-structured data. Problem Solving: Proactively identify, diagnose, and resolve complex data-related issues, performance bottlenecks, and data quality challenges. Collaboration & Mentorship: Collaborate effectively with cross-functional teams including data scientists, analysts, software engineers, and product managers. Potentially mentor junior data engineers, sharing knowledge and best practices. Technical Leadership: Contribute to technical design discussions, propose innovative solutions, and drive the adoption of best practices within the data engineering team. Documentation: Create and maintain comprehensive technical documentation for data pipelines, architectures, and processes. Skills Strong Python knowledge Familiarity with Apache Airflow, Apache Spark, Kubernetes Understanding of AI concepts like LLM, Embeddings, Vectors, RAG, MCP, Agents Java knowledge is a plus Good communication and interpersonal skills Well-being & Benefits Emotionally and mentally balanced: We support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health. Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness. A professional, passionate, and fun workplace. A modern office with fun and relaxing areas to boost creativity. Continuous learning culture with coaching and support from team experts. A culture where you can openly speak about mental health. Physically thriving: We support you in managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive. For example, Private healthcare and life insurance with premium benefits for you and discounts for your loved ones, healthier ways of working and check-ups. Socially connected: We strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and well-being. 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays). Hybrid working model with 40% remote work. Options for flexible working hours. Enjoy retailer discounts, cultural and CSR activities, workshops, and more. Financially secure: We support you in meeting personal financial goals during your active career and for the future. Competitive income, performance-based promotions, and a sense of purpose. Meal vouchers, bonuses for referrals Interested in more: discover what our employees value in the Well-being & Benefits hub! R0429762 We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.