Senior AI Data Engineer – Financial Data Infrastructure

Talanto; Poland; Hybrid; PLN 258,000 - 375,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Talanto seeks a Senior AI Data Engineer to design and maintain scalable data pipelines, warehouses, and lakes for financial data infrastructure. You will ensure data quality, regulatory compliance, and readiness for AI/ML workflows.

You will collaborate with AI Engineers and Data Scientists, work with real-time streaming platforms like Kafka or Spark Streaming, and contribute to cloud-based architecture in a hybrid Poland-based role.

Qualifications

• 3+ years in Data Engineer or AI Data Engineer role.
• Proficient in ETL/ELT pipelines.
• Strong knowledge of Spark, Kafka or Hadoop.
• Experience with SQL and NoSQL databases.
• Hands-on cloud experience (AWS, GCP or Azure).
• Understanding of ML workflows and data prep for AI models.
• Ability to handle batch and real-time processing.
• Finance/Banking experience is a plus.

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 regulatory compliance.
• Prepare data for machine learning models and analytics.
• Collaborate with AI Engineers and Data Scientists to optimize training/inference pipelines.
• Work with real-time data platforms such as Kafka or Spark Streaming.
• Manage SQL and NoSQL databases for availability and performance.
• Monitor and optimize data flows and infrastructure performance.
• Contribute to cloud-based data architecture and ops.
• Document data workflows and best practices.

Skills

ETL/ELT Dev

Big Data Tech

SQL & NoSQL

Cloud Data Platforms

Real-time Processing

ML Data Prep

English & Polish

Tools

Spark

Kafka

Hadoop

Job description

23,100 – 33,600 PLN

Unleash the power of data to revolutionize finance — design the future of AI-driven financial infrastructures!

Poland-based opportunity with hybrid work model.

As a Senior AI Data Engineer – Financial Data Infrastructure, you will be working for our client, a leading organization in the finance and banking industry. You will play a pivotal role in building reliable, scalable, and secure data systems that underpin next-generation AI applications in financial services. Your expertise will enable innovative solutions and empower data-driven insights that transform the industry.

Your main 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

You're ideal for this role if you have:

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