Data Engineer for Corporate & Investment Banking(m/w/x)

Beschreibung

You will bridge the gap between AI and data by building impactful pipelines and a modern Data Hub, ensuring investment banking services thrive through scalable, compliant intelligence.

Anforderungen

• •Product Engineer mindset with data engineering experience
• •Proficiency in Spark, Python, and SQL
• •Understanding of distributed systems and ETL pipelines
• •Familiarity with Parquet, Delta Tables, and storage paradigms
• •Knowledge of Data Mesh and dbt
• •Experience with CI/CD, GitHub, and data governance
• •Proactive, analytical mindset and effective communication skills
• •Ability to adapt in agile teams
• •Familiarity with AWS Pulsar and banking processes
• •Hands-on experience in Databricks
• •Knowledge of Ontology, Semantics, and Graph Databases
• •Knowledge of Large Language Models (LLMs)

Aufgaben

• •Design a value-centric CIB Data Hub
• •Develop cutting-edge data and AI infrastructure
• •Identify critical data needs with product experts
• •Integrate internal and external data sources
• •Build scalable and low-latency data layers
• •Implement data governance and quality frameworks
• •Manage data lineage and operational stability
• •Ensure compliance with GDPR and EU AI Act
• •Adhere to professional documentation standards
• •Innovate solutions using modern AI models
• •Apply advanced graph database and ontology principles

Tools & Technologien

Benefits