Senior AI Data Engineer (Financial Data Infrastructure)

Quick Facts

• Role: Senior AI Data Engineer (Financial Data Infrastructure)

• Focus: Scalable, secure data infrastructure for AI in financial services

• Work style: Hybrid; Poland-based

Description

Design and build reliable, scalable, and secure data pipelines and data warehouse/lake systems that underpin next-generation AI applications in financial services. Transform and prepare large financial datasets for machine learning models and predictive analytics while collaborating with AI engineers and data scientists to optimize training and inference. Work with both batch and real-time streaming data, ensuring data quality, consistency, and regulatory compliance.

Responsibilities

• 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

Requirements

• 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

• Eligibility to work: existing legal right to work in the European Union