TL;DR

Senior SW Engineer – AI Data Analytics: Building data infrastructure and pipelines to support AI initiatives with an accent on designing robust data architectures for AI and machine learning solutions. Focus on optimizing data storage and retrieval, implementing ETL workflows, and developing cloud-based data infrastructure.

Location: Kraków, Poland

Company

%hirify_global% is known for its innovative approach and highly skilled international workforce.

What you will do

Design, build, and maintain scalable data pipelines.
Optimize data storage and retrieval for AI/ML use cases.
Work closely with Development Teams to ensure data availability and quality.
Implement ETL workflows and orchestration.
Develop and manage cloud-based data infrastructure (AWS, GCP, or Azure).
Ensure best practices in data governance, quality, and security.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Electronics or a related field.
Strong programming skills in Python.
Hands-on experience with big data technologies.
Expertise in building data pipelines and ETL workflows.
Experience with cloud-based data services.
Solid knowledge of SQL and NoSQL databases.

Nice to have

Familiarity with CI/CD practices for data workflows.

Culture & Benefits

Opportunity to work with state-of-the-art data technologies.
Salary range 22.000 PLN-31.000 PLN plus short- and long-term incentive plan.
Hybrid work and flexible working hours.
Medical insurance.
Family-friendly policies, insurances, and benefits.