Data Engineer (m/f/d)

Data Engineer (m/f/d)

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 Team, possibility to participate in the charity activities.
• A rewarding challenge to develop your skills and career in a professional environment as part of an enthusiastic team dedicated to delivering top-class services