Senior AI Data Engineer – Financial Data Infrastructure

This role is for a leading organization in the finance and banking industry focused on building AI-driven financial data infrastructures.

• Minimum 3 years of experience as a Data Engineer, AI Data Engineer, or similar role
• Proficiency in ETL/ELT processes and data pipeline development
• Strong knowledge of big data technologies such as Spark, Kafka, or Hadoop
• Experience with SQL and NoSQL databases
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) for data engineering solutions
• Understanding of machine learning workflows and data preparation for AI models
• Ability to work with both batch and real-time data processing
• Strong problem-solving skills and attention to detail
• Experience in the finance or banking industry is a strong advantage
• Fluent command of English and Polish, with excellent communication skills

• Design and implement scalable data pipelines and ETL/ELT processes
• Build and maintain data warehouses and data lakes for large-scale financial datasets
• Ensure data quality, consistency, and compliance with industry regulations
• Transform and prepare data for machine learning models and predictive analytics
• Collaborate with AI Engineers and Data Scientists to optimize training and inference pipelines
• Work with real-time data streaming platforms such as Kafka or Spark Streaming
• Manage databases (SQL and NoSQL) ensuring high availability and performance
• Monitor, troubleshoot, and optimize data flows and infrastructure performance
• Contribute to cloud-based data architecture and infrastructure management
• Document data workflows, processes, and best practices

Only candidates with an existing legal right to work in the European Union will be considered for this role.