Senior Data Engineer for AI‑Driven Process Automation

State Street; Kraków; On-site; PLN 320,000 - 420,000; Full time

Job summary

State Street is seeking a senior, hands-on Data Engineer to lead end-to-end data pipelines and data products that power AI-enabled workflows across the asset servicing lifecycle. You will own data quality, lineage, and governance while partnering with AI engineers and platform teams to deliver scalable, secure, and observable data foundations.

The role emphasizes data stewardship, integration from diverse sources, and production-grade engineering in complex environments.

Qualifications

• 5+ years hands-on experience in data engineering in large-scale environments.
• Strong engineering mindset with production-grade data pipelines.
• Deep understanding of data lifecycle management, quality, metadata, and controls.

Responsibilities

• Design, build, and operate scalable data pipelines for analytics, reporting, and AI-driven automation.
• Model, store, and serve large-scale datasets for analytical and AI workloads.
• Integrate data from multiple sources including vendor feeds, APIs, and files.
• Ensure pipelines are observable, reliable, and production-ready with clear ownership.

Skills

SQL expertise

Python

ETL/ELT

Data governance

Data modeling

Education

Degree in Computer Science or Engineering

Tools

Airflow

Data warehouses

Data lakes

Job description

State Street is seeking a senior, hands-on Data Engineer to lead end-to-end data pipelines and data products that power AI-enabled workflows across the asset servicing lifecycle. You will own data quality, lineage, and governance while partnering with AI engineers and platform teams to deliver scalable, secure, and observable data foundations.

The role emphasizes data stewardship, integration from diverse sources, and production-grade engineering in complex environments.