Data Engineer - Financial Institution - J13171

Our client is a Financial Institution embarking on an exciting, multi-year digitalization journey to simplify and transform their business and IT landscape. As they rapidly grow their Digital, Data, and Technology team, they are looking for a highly skilled Data Engineer (Platform) to build solutions for their next-generation Data & Analytics Platform.

If you are passionate about large-scale data infrastructure, modern DevOps, and AI enablement, this is a fantastic opportunity to make an impact!

What You Will Do

• Build and enhance robust data platform solutions, focusing on data virtualization, visualization, and advanced data lakes.
• Design, implement, and manage scalable infrastructure using Infrastructure as Code (IaC) and CI/CD pipelines.
• Develop services and seamlessly integrate them with internal and external APIs / MCPs.
• Collaborate closely with Architects, AI Engineers, and Product Owners to deploy AI applications and robust data pipelines in a continuous delivery environment.

What You Bring to the Team

• 3+ years of experience in data platform development, ideally with a track record of delivering large-scale data infrastructure (100+ TB).
• Strong programming capabilities in Python, Java, or Node.js, combined with Bash/PowerShell scripting for automation.
• Hands-on expertise with modern Data Lake frameworks (Apache Hudi, Iceberg, Delta Lake) and data processing tools (Airflow, Spark).
• Deep knowledge of modern infrastructure and deployments, including Docker, Kubernetes, Terraform, Jenkins, and Ansible.
• Familiarity with public cloud platforms (AWS, Azure, AliCloud) and data security best practices.
• Excellent problem-solving skills and the ability to thrive in a global, diverse financial services environment.