Senior Data Engineer - Hybrid/Remote with ML Analytics

Senior / Principal Data Engineer

Location: Poznań, PL, 61-569

Facility: POZNAN-6731

LyondellBasell is a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that includes a Nobel Prize in Chemistry and our proprietary MoReTec recycling technology, LYB is enabling a more sustainable future for generations to come. LYB develops high-quality and innovative products for applications ranging from sustainable transportation and food safety to clean water and quality healthcare. LYB places high priority on diversity, equity and inclusion and is advancing good with an emphasis on our planet, the communities where we operate and our future workforce. We’re addressing the global challenges of ending plastic waste, taking climate action, and supporting a thriving society, while generating value for our customers, investors, and society.

Come Join an Inclusive Team

LyondellBasell’s Digital Technologies (DT) organization provides value focused and scalable digital, data-driven, and advanced analytics solutions across LyondellBasell’s enterprise. Through working closely with other Data Engineers, Software Engineers, Data Scientists, business domain experts, and other members of DT, the Senior or Principal Data Engineer will have the opportunity to provide significant business value through leading the design and delivery of scalable Data Engineering capabilities on high value problems. Success requires a team of innovative, energetic, productive, software engineering minded, and humble individuals who demonstrate LyondellBasell’s core values in the application of software engineering focused Data Engineering pipelines and workflows on each project. At LyondellBasell, we work a flexible hybrid schedule, which includes remote work-from-home days and in-person team collaboration days.

A Day in the Life

• Place emphasis on delivering value through design, development, and leading the deployment of data engineering pipelines and solutions which leverage excellent software engineering practices
• Work collaboratively with data scientists, software engineers, and business SMEs (Process Engineers, Automation Engineers, Reliability Engineers, other business domain experts) in providing data pipelines and workflows which are critical to delivering data driven solutions
• Work collaboratively across DT to ensure proper architecture, security, exception handling, testing, and code development standards are adhered to
• Design and develop data workflows and pipelines necessary for algorithm and ML solution deployment and maintenance for chemical manufacturing domains including predictive maintenance, reliability, preventing downtime, industrial automation and optimization, demand forecasting, and improving health and safety
• Leverage deep software development expertise, code development standards, data engineering, system design, and advanced technologies, to enable the delivery of data-driven projects
• Design, define, and develop technical platforms, frameworks, and applications, to provide data, business intelligence, and information
• Network internally and externally to build relationships that foster technology transfer and collaboration
• Assist with the promotion of digital transformation, training and development of other Data Engineers, Software Engineers, Data Analysts, and other peers throughout the organization

You Bring This Value

Preferred Qualifications

• MS strongly preferred, with a PhD preferred
• 9+ years professional hands on software development experience with a PhD, or 11+ years’ experience with an MS degree, or 13+ years’ experience with a BS degree
• Experience with microservices architecture, Kubernetes, Docker, and/or CI/CD frameworks
• Proficiency and expertise in Real Time historian data, SQL, NoSQL, Graph Databases, and/or NewSQL database technologies
• Strong programming and scripting skills in other languages, such as C#, C++, Julia, or Scala
• Experience with VS Code
• Experience working with Data Scientists on designing and delivering scalable, end to end advanced analytics solutions
• Specialized experience in providing data engineering solutions in various Data Science domains, such as Predictive Maintenance, Forecasting, Real Time streaming analytics, Image Analysis leveraging deep learning methodologies, and optimization
• Experience with modern Data Engineering, ML and Data Science libraries such as Pandas, NumPy, Scikit-Learn, NLTK, Seaborn, Dplyr

We Offer

We offer an environment where we encourage personal and professional growth and where you will be rewarded for your performance and results. You will have the possibility to work with specialists on all fields to develop innovative solutions and to extend your national and international network. In addition, we offer you a competitive salary and benefits package.

The Company's Global Remote Work Policy allows eligible employees the option to work up to three days a week from home.

LyondellBasell is committed to advancing diversity, equity & inclusion (DEI) to ensure a positive experience for all employees.

Application & Contact

Please send us your resume via the application button.

If you would like to learn more, please feel free to contact Martyna Piechowiak, Talent Acquisition Specialist at [email protected]