Senior Cloud Data Engineer

3 hours ago

Cary, North Carolina, United States Deutsche Bank Full time
About the Role

We are seeking an experienced Data/AI Engineer to join our Sustainability Technology team at Deutsche Bank, with a focus on Google Cloud and Machine Learning.

The successful candidate will be responsible for designing, implementing, and maintaining our team's Data integrations on Google Cloud Platform, while also combining machine learning models and algorithms into our products.

This is a unique opportunity to work at the intersection of Data Management and Machine Learning, and to contribute to the growth and success of our team.

Key Responsibilities
  • Design, implement, and maintain our Sustainability products and Data on Google Cloud Platform, including GCP services such as Google Kubernetes Engine (GKE), Cloud Storage, Vertex AI, Anthos etc.
  • Design, develop, and maintain data pipelines using GCP services in developing and implementing data ingestion and transformation processes using tools like Composer, Apache Airflow, Dataflow and Pub/Sub
  • Automate data processing tasks using scripting languages like Python.
  • Collaborate with software developers to integrate machine learning models and algorithms into our products, using PyTorch, TensorFlow or other machine learning frameworks.
  • Develop and maintain CI/CD pipelines for our products, using tools such as GitHub and GitHub actions.
  • Create and maintain Infrastructure as Code templates using Terraform.
  • Work closely with other teams, such as software development, data science, and product management, to identify and prioritize infrastructure and machine learning requirements.
  • Stay up to date with the latest developments in Google Cloud Platform and machine learning and apply this knowledge to improve our products and processes.
Requirements
  • At least 5 years of experience in a Data/AI role, with a focus on Google Cloud Platform.
  • Experience with containerization technologies such as Docker and container orchestration tools such as Kubernetes.
  • Experience on Vertex AI and machine learning frameworks such as TensorFlow or PyTorch.
  • Strong proficiency in Python & Structured Query Language (SQL) for data manipulation and querying. Strong experience with infrastructure as code tools such as Terraform.
  • Experience with CI/CD pipelines and automated testing.
What We Offer
  • A diverse and inclusive environment that embraces change, innovation, and collaboration.
  • A hybrid working model with up to 60% work from home, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days, a commitment to Corporate Social Responsibility.
  • Employee Resource Groups support an inclusive workplace for everyone and promote community engagement.
  • Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values.
  • Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits, educational resources, matching gift and volunteer programs.

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