Senior Data Engineer (m/f/d)

Your responsibilities

• Design, develop, and maintain highly efficient and scalable ETL processes and data pipelines to integrate data from diverse sources.
• Implement robust data models, ensuring data quality, consistency, and accessibility for sales analytics.
• Monitor, troubleshoot, and optimize existing data pipelines and systems to ensure performance, reliability, and cost-efficiency.
• Architect and implement scalable and resilient data infrastructure on our GCP infrastructure, utilizing cloud-native data services. Optimize current solutions.
• Apply software engineering best practices, including version control (Git), CI/CD pipelines, and infrastructure as code (Terraform).
• Leverage your understanding of agentic AI concepts to explore and implement solutions that can automate, optimize, and self-correct data pipelines.
• Apply Generative AI (GenAI) techniques and tools to accelerate data engineering workflows, including automated code generation for ETL scripts, data schema creation, intelligent data quality rule definition, and synthetic data generation for testing.
• Help evaluate and integrate AI-assisted development tools to enhance productivity in data engineering tasks like pipeline creation, code generation, and troubleshooting.
• Work closely with data scientists and business analysts to understand data requirements and deliver impactful data solutions.

About the project

Are you experienced in database engineering and leveraging cloud-based technologies? Join our dynamic and innovative team in the Sales Analytics Cluster, where we turn data into actionable insights using the latest advanced analytics and AI solutions. In this role, you will contribute to optimizing and managing our data ecosystem, collaborating with experts to design and deliver innovative solutions that empower the bank’s sales steering and customer relationship management.