Industrial Data Engineer: Pipelines, AI & Governance

Clariant SE; Łódź; Hybrid; PLN 150,000 - 220,000; Full time

Benefits offered by this job

12% annual bonus

Training programs

Language courses

Multisport card

Private health care

Life insurance

Eyewear refund

Restaurant discount card

Job summary

We are seeking a Data Engineer to design, implement, and optimize data pipelines powering efficient data processing, storage, and analysis across our global organization at Clariant SE. You will work at the intersection of data, business operations, and chemical industry processes.

Responsibilities include data pipeline development, process optimization, data modeling, system integration, data governance, and AI integration patterns, with a focus on delivering business value through data-driven

Qualifications

• 4+ years in data engineering, preferably in chemical or industrial sectors.
• Strong Python and SQL skills with ETL tooling experience.
• Familiarity with major cloud platforms (AWS preferred).

Responsibilities

• Design and implement data pipelines to support processing, storage and analysis.
• Lead data modeling and schema development across domains.
• Drive end-to-end system integration and data governance initiatives.
• Apply GenAI integration patterns and RAG approaches to data capabilities.
• Communicate insights to non-technical stakeholders and drive business value.

Skills

Python

SQL

ETL tools

Education

Degree in Computer Science, Engineering or similar

Tools

AWS

Job description

We are seeking a Data Engineer to design, implement, and optimize data pipelines powering efficient data processing, storage, and analysis across our global organization at Clariant SE. You will work at the intersection of data, business operations, and chemical industry processes.

Responsibilities include data pipeline development, process optimization, data modeling, system integration, data governance, and AI integration patterns, with a focus on delivering business value through data-driven