Poznań, PL, 61-569
Actively hiring, first seen by us 10 days agoDesign and maintain scalable data pipelines, data products and data models
Translate business requirements into maintainable technical data solutions
Ensure quality, reliability and observability of critical data assets
Build reusable Python pipelines, orchestration components and processing frameworks
Write and optimize SQL for analytical and operational workloads
Design, develop, and maintain scalable data pipelines, data products, and data models
Partner with business stakeholders to translate business requirements into scalable and maintainable technical solutions.
Ensure the quality, reliability, availability, and observability of critical data assets.
Design and develop reusable Python-based pipelines, orchestration components, and data processing frameworks.
Write and optimize SQL for analytical and operational workloads.
8+ years' experience with a BS degree
BS (MS strongly preferred, and PhD preferred) in Computer Science, Software Engineering, Computer Engineering, or related technical field.
Strong data engineering experience using Python and SQL
hands-on experience in Databricks, Snowflake, Spark, and other modern data engineering platforms
Demonstrated experience developing and delivering production-grade data products and pipelines as code
Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 10
Similar jobs usually come down between day 6 and day 54.
At Lyondell Basell North America, jobs usually 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.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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A Day in the Life General • Design, develop, and maintain scalable data pipelines, data products, and data models that support enterprise reporting, analytics, and operational decision-making. • Partner with business stakeholders to translate business requirements into scalable and maintainable technical solutions. • Ensure the quality, reliability, availability, and observability of critical data assets. • Collaborate with data engineers, software engineers, architects, analysts, and business teams to deliver integrated solutions. • Design and develop reusable Python-based pipelines, orchestration components, and data processing frameworks. • Write and optimize SQL for analytical and operational workloads. • Deliver data products and transformations as production-quality code using source control, automated testing, code reviews, and CI/CD practices. • Maintain technical documentation, design artifacts, and development standards. • Drive continuous improvement initiatives that enhance data accessibility, governance, performance, and business value. Area of Expertise, Requirements • Design and deliver enterprise data solutions supporting business-critical analytics, reporting, operational processes, and digital transformation initiatives. • Develop and maintain scalable analytical, operational, and dimensional data models that provide trusted and actionable business information. • Integrate and curate data from a wide variety of enterprise systems, applications, databases, APIs, and cloud platforms. • Leverage modern data engineering technologies and distributed processing frameworks to build reliable, efficient, and scalable data platforms and products. • Partner with cross-functional teams to standardize engineering practices, improve data quality, and accelerate delivery of enterprise data capabilities.
You Bring This Value • BS (MS strongly preferred, and PhD preferred) in Computer Science, Software Engineering, Computer Engineering, or related technical field. • For a Senior Data Engineer: 4+ years professional hands-on data engineering experience with a PhD, or 6+ years' experience with an MS degree, or 8+ years' experience with a BS degree. • Demonstrated experience developing and delivering production-grade data products and pipelines as code, leveraging Python, SQL, source control, automated testing, code reviews, CI/CD pipelines, and DevOps methodologies. • Strong data engineering experience using Python and SQL, with hands-on experience in Databricks, Snowflake, Spark, and other modern data engineering platforms for data processing, orchestration, automation, and analytics. • Experience designing and implementing scalable data pipelines, ETL/ELT processes, distributed data processing solutions, and analytical, operational, and dimensional data models that enable enterprise analytics, reporting, and business decision-making. • Experience working with large structured, semi-structured, and unstructured datasets using modern data engineering technologies, including data streaming, event-driven architectures, messaging platforms, dbt, distributed processing frameworks, and cloud-native platforms. • Specialty skills in large-scale computing, cluster computing, and/or cloud computing. • Demonstrated ability to lead technical initiatives and deliver complex projects while working effectively both independently and within cross-functional teams. • Experience supporting enterprise data platforms, digital transformation initiatives, data products, or large-scale data modernization efforts is strongly preferred. Competencies
What We Offer • Opportunity to play a key role in delivering enterprise data and analytics capabilities that create measurable business value. • Exposure to complex business challenges across manufacturing, supply chain, commercial, finance, procurement, sustainability, and other enterprise functions. • Ability to work with modern cloud, data, and AI technologies, including Databricks, Snowflake, Azure, and advanced analytics platforms. • Collaboration with a diverse team of Data Engineers, Software Engineers, Architects, and business leaders across the enterprise. • Opportunities to influence technical strategy, platform evolution, and engineering best practices. • A culture that values innovation, continuous learning, knowledge sharing, and professional growth. • Flexible hybrid work arrangements that support both collaboration and work-life balance. • Competitive compensation and comprehensive benefits. Application & Contact
Complete your application on careers.lyondellbasell.com. The employer’s form will show what is required.
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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.
We are seeking an experienced Senior Data Engineer to support the delivery of enterprise data, analytics, and digital capabilities across a wide range of business functions. This role will be responsible for designing, building, and scaling data models, products, and pipelines that enable reliable reporting, advanced analytics, operational insights, and business decision-making across the enterprise. This is a highly visible role that requires deep expertise in modern data engineering, data modeling, cloud data platforms, and distributed data processing. The successful candidate will partner closely with business and technology teams to deliver scalable, reliable, and maintainable data solutions that support enterprise initiatives and data-driven decision making. This role offers opportunities to contribute across multiple business domains, including manufacturing, supply chain, commercial operations, finance, procurement, reliability, sustainability, and other enterprise functions.
General
• Design, develop, and maintain scalable data pipelines, data products, and data models that support enterprise reporting, analytics, and operational decision-making.
• Partner with business stakeholders to translate business requirements into scalable and maintainable technical solutions.
• Ensure the quality, reliability, availability, and observability of critical data assets.
• Collaborate with data engineers, software engineers, architects, analysts, and business teams to deliver integrated solutions.
• Design and develop reusable Python-based pipelines, orchestration components, and data processing frameworks.
• Write and optimize SQL for analytical and operational workloads.
• Deliver data products and transformations as production-quality code using source control, automated testing, code reviews, and CI/CD practices.
• Maintain technical documentation, design artifacts, and development standards.
• Drive continuous improvement initiatives that enhance data accessibility, governance, performance, and business value.
Area of Expertise, Requirements
• Design and deliver enterprise data solutions supporting business-critical analytics, reporting, operational processes, and digital transformation initiatives.
• Develop and maintain scalable analytical, operational, and dimensional data models that provide trusted and actionable business information.
• Integrate and curate data from a wide variety of enterprise systems, applications, databases, APIs, and cloud platforms.
• Leverage modern data engineering technologies and distributed processing frameworks to build reliable, efficient, and scalable data platforms and products.
• Partner with cross-functional teams to standardize engineering practices, improve data quality, and accelerate delivery of enterprise data capabilities.
• BS (MS strongly preferred, and PhD preferred) in Computer Science, Software Engineering, Computer Engineering, or related technical field.
• For a Senior Data Engineer: 4+ years professional hands-on data engineering experience with a PhD, or 6+ years' experience with an MS degree, or 8+ years' experience with a BS degree.
• Demonstrated experience developing and delivering production-grade data products and pipelines as code, leveraging Python, SQL, source control, automated testing, code reviews, CI/CD pipelines, and DevOps methodologies.
• Strong data engineering experience using Python and SQL, with hands-on experience in Databricks, Snowflake, Spark, and other modern data engineering platforms for data processing, orchestration, automation, and analytics.
• Experience designing and implementing scalable data pipelines, ETL/ELT processes, distributed data processing solutions, and analytical, operational, and dimensional data models that enable enterprise analytics, reporting, and business decision-making.
• Experience working with large structured, semi-structured, and unstructured datasets using modern data engineering technologies, including data streaming, event-driven architectures, messaging platforms, dbt, distributed processing frameworks, and cloud-native platforms.
• Specialty skills in large-scale computing, cluster computing, and/or cloud computing.
• Demonstrated ability to lead technical initiatives and deliver complex projects while working effectively both independently and within cross-functional teams.
• Experience supporting enterprise data platforms, digital transformation initiatives, data products, or large-scale data modernization efforts is strongly preferred.
• Opportunity to play a key role in delivering enterprise data and analytics capabilities that create measurable business value.
• Exposure to complex business challenges across manufacturing, supply chain, commercial, finance, procurement, sustainability, and other enterprise functions.
• Ability to work with modern cloud, data, and AI technologies, including Databricks, Snowflake, Azure, and advanced analytics platforms.
• Collaboration with a diverse team of Data Engineers, Software Engineers, Architects, and business leaders across the enterprise.
• Opportunities to influence technical strategy, platform evolution, and engineering best practices.
• A culture that values innovation, continuous learning, knowledge sharing, and professional growth.
• Flexible hybrid work arrangements that support both collaboration and work-life balance.
• Competitive compensation and comprehensive benefits.
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
What We Offer • Opportunity to play a key role in delivering enterprise data and analytics capabilities that create measurable business value. • Exposure to complex business challenges across manufacturing, supply chain, commercial, finance, procurement, sustainability, and other enterprise functions. • Ability to work with modern cloud, data, and AI technologies, including Databricks, Snowflake, Azure, and advanced analytics platforms. • Collaboration with a diverse team of Data Engineers, Software Engineers, Architects, and business leaders across the enterprise. • Opportunities to influence technical strategy, platform evolution, and engineering best practices. • A culture that values innovation, continuous learning, knowledge sharing, and professional growth. • Flexible hybrid work arrangements that support both collaboration and work-life balance. • Competitive compensation and comprehensive benefits. 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 #LI-MP1 #LI-Hybrid Privacy Statement: For information regarding how LyondellBasell processes your personal data, please read our Privacy Statement
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