Deutsche Bank
Technology
SeniorPythonEngineerforAI&DataPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Python Engineer for AI & Data Platform at Deutsche Bank. Skills: Python, AI & Data Platform, Data Pipeline Development, Workflow Orchestration, Containerization, CI/CD Implementation. Design, develop, and optimize complex data pipelines using Python and PySpark/Apache Spark for large-scale data processing, transformation, and ingestion.. Implement and manage data workflows and dependencies using Apache Airflow to ensure efficient and reliable data delivery.”
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
Nice to Have
Java knowledge
What You'll Do.
and optimize complex data pipelines using Python and PySpark/Apache Spark for large-scale data processing
Implement and manage data workflows and dependencies using Apache Airflow to ensure efficient and reliable data delivery.
Deploy and manage data engineering workloads and applications within containerized environments using Kubernetes
and efficient resource utilization.
Design and implement robust CI/CD pipelines for automated testing
and monitoring of data engineering solutions
promoting a culture of continuous delivery and quality.
Work with modern data lake technologies
including Apache Iceberg
for efficient data storage
and schema evolution.
Utilize object storage solutions for managing and accessing large volumes of unstructured and semi-structured data.
and resolve complex data-related issues
performance bottlenecks
and data quality challenges.
Create and maintain comprehensive technical documentation for data pipelines
How You'll Work.
Team & Collaboration
Collaborate effectively with cross-functional teams including data scientists, analysts, software engineers, and product managers.; Share knowledge and best practices.; Contribute to technical design discussions.; Work 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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