Data Engineer (m/f/d)
Clariant, a Swiss specialty chemicals company, is hiring a Data Engineer in Łódź to design and optimize data pipelines, data models, and system integrations for global operations, including GenAI/RAG integration and data governance. Core stack: Python, SQL, ETL tools, and cloud platforms (AWS preferred), in a hybrid work model.
- Compensation
- Not disclosed
- Location
- Łódź, Poland
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Degree in Computer Science, Engineering or similar
- 4+ years in data engineering
- Advanced proficiency in Python, SQL, and ETL tools
- Experience with major cloud platforms (AWS preferred)
- Problem-solving mindset and ability to operate in a business-driven, cross-functional environment
- Continuous learning orientation
Nice to have
- Experience preferably within the chemical or industrial sector
Full description
We are looking for a Data Engineer to design, implement, and optimize data pipelines that power efficient data processing, storage, and analysis across our global organization. You will be embedded in our Engineering & Process Technology function, working at the intersection of data, business operations, and chemical industry processes. You will play a key role in shaping our data landscape by driving governance initiatives, integrating systems, and advancing data capabilities through cutting-edge technologies. If you are passionate about translating complex data challenges into real business value, we would love to hear from you.
What will you be doing?
- Data Pipeline Development – Design and implement complex data pipelines that meet evolving business requirements across engineering and process functions.
- Process Optimization – Develop and execute optimization strategies for existing data processes to improve efficiency and performance in an industrial context.
- Data Modeling – Lead the development of sophisticated data models and schemas across various business and operational domains.
- System Integration – Drive end-to-end data integration solutions across multiple systems and platforms.
- Data Governance – Initiate and champion data governance initiatives to ensure data quality and compliance.
- AI Integration – Implement GenAI integration patterns and RAG pipelines to enhance data capabilities.
- Problem Resolution – Resolve complex data-related issues through systematic root cause analysis.
- Stakeholder Communication – Act as a bridge between technical teams and business stakeholders, translating data insights into actionable outcomes for non-technical audiences.
What are we looking for?
- Education: Degree in Computer Science, Engineering or similar.
- Experience: 4+ years in data engineering, preferably within the chemical or industrial sector.
- Technical skills: Advanced proficiency in Python, SQL, and ETL tools; experience with major cloud platforms (AWS preferred).
- Soft skills: problem-solving mindset; ability to operate effectively in a business-driven, cross-functional environment; continuous learning orientation.
What’s in it for you?
- Compensation Structure Components: base salary determined individually based on experience, skills, and role alignment; performance related 12% yearly bonus.
- Benefits: internal and external trainings, language courses, sport card (Multisport), private health care (Medicover), additional life insurance, corrective eyeglasses refund, discount card for the restaurants.