Poznań, PL, 61-569
Open 6 months, first seen by us 188 days agoDesign and deploy data pipelines and workflows for ML and algorithm solutions
Lead the design and delivery of scalable data engineering capabilities
Work with data scientists and process and automation engineers on data solutions
Set architecture, security, testing and code standards across DT
Train and develop other data and software engineers
Design and develop data workflows and pipelines necessary for algorithm and ML solution deployment and maintenance
leading the design and delivery of scalable Data Engineering capabilities on high value problems
Work collaboratively with data scientists, software engineers, and business SMEs (Process Engineers, Automation Engineers, Reliability Engineers, other business domain experts)
Work collaboratively across DT to ensure proper architecture, security, exception handling, testing, and code development standards are adhered to
Assist with the promotion of digital transformation, training and development of other Data Engineers, Software Engineers, Data Analysts
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 Competencies
Open 6 monthsWe first saw this posting 188 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 188
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Lyondell Basell North America’s usual: its jobs come down by about day 46.
From 11,581 similar postings that came down, and 14 of Lyondell Basell North America’s. Coming down is not always a hire.
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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 Competencies
You Bring This Value • BS (MS strongly preferred, and PhD preferred) in Computer Science, Software Engineering, Computer Engineering, Aerospace Engineering, or related technical field • For a Senior Data Engineer: 4+ years professional hands on software development experience with a PhD, or 6+ years’ experience with an MS degree, or 8+ years’ experience with a BS degree • For a Principal Data Engineer: 7+ years professional hands on software development experience with a PhD, or 9+ years’ experience with an MS degree, or 11+ years’ experience with a BS degree • Demonstrated ability to drive a project, and work both independently and in a team • High level of enthusiasm and a love of data, software development, and data engineering • Strong quantitative and problem-solving skills, including strong data, technical, and mathematical knowledge and skills • Strong Python, JavaScript, and/or Java programming and scripting skills • Strong experience with Databricks, Snowflake, and/or PostgreSQL • Strong experience with software engineering oriented data engineering systems, including stream-processing systems, dbt, Big Data querying systems, MongoDB, Cassandra, integration of data from multiple data sources, ETL techniques and frameworks, and/or messaging systems • Experience working with large structured and/or unstructured data and technologies • Specialty skills in large scale computing, cluster computing, and/or cloud computing (Azure preferably) • Experience with Linux, Unix, Git, and software development testing frameworks Preferred Qualifications
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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.
• 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
• BS (MS strongly preferred, and PhD preferred) in Computer Science, Software Engineering, Computer Engineering, Aerospace Engineering, or related technical field
• For a Senior Data Engineer: 4+ years professional hands on software development experience with a PhD, or 6+ years’ experience with an MS degree, or 8+ years’ experience with a BS degree
• For a Principal Data Engineer: 7+ years professional hands on software development experience with a PhD, or 9+ years’ experience with an MS degree, or 11+ years’ experience with a BS degree
• Demonstrated ability to drive a project, and work both independently and in a team
• High level of enthusiasm and a love of data, software development, and data engineering
• Strong quantitative and problem-solving skills, including strong data, technical, and mathematical knowledge and skills
• Strong Python, JavaScript, and/or Java programming and scripting skills
• Strong experience with Databricks, Snowflake, and/or PostgreSQL
• Strong experience with software engineering oriented data engineering systems, including stream-processing systems, dbt, Big Data querying systems, MongoDB, Cassandra, integration of data from multiple data sources, ETL techniques and frameworks, and/or messaging systems
• Experience working with large structured and/or unstructured data and technologies
• Specialty skills in large scale computing, cluster computing, and/or cloud computing (Azure preferably)
• Experience with Linux, Unix, Git, and software development testing frameworks
• 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 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 specialist 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 martyna.piechowiak@lyondellbasell.com
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Poznań, PL, 61-569
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
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 specialist 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.
More relevant text appears in the full description.
No clear work-authorization passage found. Eligibility is unconfirmed.