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Salary
$71k – $103k per year
Location
Hybrid (Warsaw, Poland)
Seniority
Senior
Employment
Contractor

First seen by Alion on Oct 20, 2026.

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ITDS is a Polish technology consulting and staffing firm that supplies engineers, analysts and project specialists to banks, insurers and other financial institutions. Its consultants work inside client delivery teams on software development, testing, business analysis, data engineering, cloud infrastructure and cybersecurity, usually on long-running programmes rather than short advisory engagements. The firm is based in Warsaw, recruits across Poland and increasingly for remote assignments elsewhere in Europe, and posts a high volume of contract and permanent technology vacancies under its own name on behalf of client employers.

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.

#MAKEYourCareerBETTER
Interested? Apply now and include your CV in English or Polish, along with a statement confirming your consent to the processing and storage of your personal data.

Tech stack

  • ETL/ELT processes
  • SQL
  • Apache Spark
  • Cloud Platforms (AWS/GCP/Azure)
  • Data Pipeline Development
  • Apache Kafka
  • NoSQL Databases
  • Machine Learning Workflows
  • real-time data processing
  • Financial Industry Knowledge
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