Data Engineer (m/f/d)

Job   ID:  41832   | Location :  Lodz, Poland | Expected Salary Range : zł129,000.00 - zł215,000.00 | Work Model:  Hybrid   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. Language: fluent English.   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. Relocation package adjusted to your current location. Working environment: hybrid work model at the Monopolis complex in Lodz (wheelchair accessible workplace). Social culture: integrational team events, broad range of initiatives provided by Social…