Senior Data Engineer: GenAI-Driven Data Pipelines

Commerzbank AG – Poland; Łódź; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Development Plans

Life insurance

flexible working hours

integration events

Job summary

Commerzbank in Łódź is seeking a Senior Data Engineer to design and maintain scalable data pipelines for sales analytics. You will build robust data models, ensure data quality, and optimize pipelines on Google Cloud Platform while applying agentic AI and GenAI techniques to automate and accelerate engineering tasks.

You will work closely with data scientists and business analysts to translate data requirements into actionable insights that support sales steering and customer relationship

Qualifications

• Strong SQL knowledge and data modelling experience.
• Experience with cloud data platforms, preferably GCP.
• Proficient in Python for data engineering tasks.
• Familiarity with agentic AI concepts and GenAI tooling.
• English level B2 or higher.

Responsibilities

• Design, develop, and maintain efficient ETL processes and pipelines to integrate data from diverse sources.
• Implement robust data models ensuring quality, consistency, and accessibility for sales analytics.
• Monitor, troubleshoot, and optimize data pipelines for performance and cost efficiency.
• Architect scalable data infrastructure on GCP; leverage cloud-native data services.
• Apply CI/CD pipelines, version control, and infrastructure as code (Terraform).
• Explore agentic AI concepts to automate and self-correct data workflows.
• Utilize GenAI to accelerate data engineering tasks including code/data schema generation and testing.
• Evaluate AI-assisted tools to boost productivity in pipeline creation and debugging.
• Collaborate with data scientists and business analysts to deliver impactful data solutions.

Skills

SQL

Python

Agentic AI

English (B2+)

Tools

Google Cloud Platform (GCP)

Big Data (Spark/Hadoop)

Data Lakes

Job description

Commerzbank in Łódź is seeking a Senior Data Engineer to design and maintain scalable data pipelines for sales analytics. You will build robust data models, ensure data quality, and optimize pipelines on Google Cloud Platform while applying agentic AI and GenAI techniques to automate and accelerate engineering tasks.

You will work closely with data scientists and business analysts to translate data requirements into actionable insights that support sales steering and customer relationship