Senior AI Data Engineer – Financial Data Infrastructure

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SeniorHybryda·PolandFull-time·B2B

#373684·Dodano 4 miesiące temu·2

Źródło: ITDS

Tech Stack / Keywords

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.

ITDS

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