Senior Python Engineer for AI & Data Platform

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!