Deutsche Bank
AI & Data Platform
SeniorPythonEngineerforAI&DataPlatform(f/m/x)
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“Senior Python Engineer for AI & Data Platform (f/m/x) at Deutsche Bank. Skills: Python, PySpark/Apache Spark, Apache Airflow, Kubernetes, CI/CD. Managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. Design, develop, and optimize complex data pipelines”
Industry & Context.
Problem Solving; Proactively identify, diagnose, and resolve complex data-related issues, performance bottlenecks, and data quality challenges
What They're Looking For.
Must Have
Python knowledge, Apache Airflow, Apache Spark, Kubernetes, AI concepts like LLM, Embeddings, Vectors, RAG, MCP, Agents, Data Pipeline Development & Optimization, Workflow Orchestration, Containerization & Orchestration, CI/CD Implementation, Data Lake & Storage Management, Object Storage Integration, Problem Solving, Collaboration, Mentorship, Technical Leadership, Documentation
Nice to Have
Java knowledge is a plus
What You'll Do.
Managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis
and optimize complex data pipelines
Implement and manage data workflows and dependencies
Deploy and manage data engineering workloads and applications within containerized environments
Design and implement robust CI/CD pipelines
Work with modern data lake technologies
Utilize object storage solutions
and resolve complex data-related issues
performance bottlenecks
and data quality challenges
Create and maintain comprehensive technical documentation
How You'll Work.
Team & Collaboration
Collaborate effectively with cross-functional teams including data scientists, analysts, software engineers, and product managers; Collaborate effectively with cross-functional teams; Collaboration; Working collaboratively
Communication Scope
Good communication and interpersonal skills
Full Job Description
## _**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
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