Senior Data Engineer

LyondellBasell; Poznań; Hybrid; PLN 180,000 - 320,000; Full time

Job summary

LyondellBasell is seeking a Senior Data Engineer to design, build, and scale data models, pipelines, and platforms across the enterprise. You will enable reliable reporting, analytics, and decision-making with modern data engineering practices.

This highly visible role requires expertise in Python, SQL, Databricks, Snowflake, Spark, and cloud-native data solutions, collaborating across manufacturing, supply chain, finance, and sustainability groups.

Qualifications

• BS in CS/Engineering or related field; MS/PhD preferred.
• 4+ years with PhD or 6+ years with MS or 8+ years with BS in data engineering.
• Production-grade data products and pipelines using Python/SQL with CI/CD.
• Hands-on with Databricks, Snowflake, Spark and cloud platforms.
• Design scalable data pipelines and enterprise analytics architectures.

Responsibilities

• Design, build, and maintain scalable data pipelines and data models.
• Partner with stakeholders to translate requirements into technical solutions.
• Ensure data quality, reliability, and observability across assets.
• Collaborate with engineers, architects, and analysts to deliver solutions.
• Develop reusable Python-based pipelines and CI/CD compliant code.

Skills

Python

SQL

Databricks

Snowflake

Spark

ETL/ELT

CI/CD

DevOps

Cloud platforms

Data modeling

Leadership

Education

MS in CS/Engineering (strongly preferred)

BS in CS/Engineering or related (required)

PhD preferred

Tools

Databricks

Snowflake

Spark

dbt

Azure

Job description

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

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.

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

• Drive Innovation
• Technical Skills
• Grow Capabilities
• Promote Inclusion
• Motivational Fit
• Build Partnerships
• Deliver Results

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.