Deutsche Bank - Cary, NC
posted 3 months ago
As a Senior Google Cloud Platform (GCP) Data Engineer at Deutsche Bank, you will play a crucial role in our Sustainability Technology team, focusing on the integration of data and machine learning within the Google Cloud environment. This position is designed for an experienced Data/AI Engineer who is passionate about leveraging technology to drive sustainable finance and corporate sustainability initiatives. You will be responsible for designing, implementing, and maintaining data integrations on the Google Cloud Platform, ensuring that our sustainability products are robust and efficient. This role offers a unique opportunity to work at the intersection of data management and machine learning, contributing to the growth and success of our team. In this position, you will work with various GCP services, including Google Kubernetes Engine (GKE), Cloud Storage, Vertex AI, and Anthos. You will design, develop, and maintain data pipelines using tools such as Composer, Apache Airflow, Dataflow, and Pub/Sub, automating data processing tasks with scripting languages like Python. Collaboration is key, as you will work closely with software developers to integrate machine learning models and algorithms into our products, utilizing frameworks like PyTorch and TensorFlow. Additionally, you will develop and maintain CI/CD pipelines and create Infrastructure as Code templates using Terraform. Staying current with the latest developments in Google Cloud Platform and machine learning is essential, as you will apply this knowledge to enhance our products and processes. The role requires a proactive approach to identifying and prioritizing infrastructure and machine learning requirements in collaboration with other teams, including software development, data science, and product management. This position is based in Cary, NC, and follows a hybrid working model, allowing for flexibility in your work environment.