Data Engineer
LyondellBasell14 days ago
Poznań, PolandMid Level / Senior
Responsibilities
- Design, develop, and maintain scalable data pipelines, data products, and data models for enterprise reporting, analytics, and operational decision-making.
- Translate business requirements into scalable and maintainable technical solutions with business and technology stakeholders.
- Ensure the quality, reliability, availability, and observability of critical data assets.
- Develop reusable Python-based pipelines, orchestration components, and data processing frameworks.
- Write and optimize SQL for analytical and operational workloads.
- Deliver production-quality data transformations and products using source control, automated testing, code reviews, and CI/CD practices.
- Integrate and curate data from enterprise systems, applications, databases, APIs, and cloud platforms.
- Develop scalable ETL/ELT processes, distributed data processing solutions, and analytical, operational, and dimensional data models.
- Collaborate with cross-functional teams to standardize engineering practices, improve data quality, and deliver enterprise data capabilities.
- Maintain technical documentation, design artifacts, and development standards.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field; a master’s degree and PhD are strongly preferred/preferred.
- For a Data Engineer, 2+ years of professional hands-on data engineering experience with a PhD, 4+ years with a master’s degree, or 6+ years with a bachelor’s degree.
- Production-grade data engineering experience using Python, SQL, source control, automated testing, code reviews, CI/CD pipelines, and DevOps methodologies.
- Hands-on experience with Databricks, Snowflake, Spark, and modern data engineering platforms.
- Experience designing scalable data pipelines, ETL/ELT processes, distributed data processing solutions, and enterprise data models.
- Experience with large structured, semi-structured, and unstructured datasets, 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.
- Ability to contribute to technical initiatives and deliver solutions independently and within cross-functional teams.
Benefits
- Opportunity to deliver enterprise data and analytics capabilities that create measurable business value.
- Exposure to complex challenges across manufacturing, supply chain, commercial, finance, procurement, sustainability, and other enterprise functions.
- Opportunity to work with modern cloud, data, and AI technologies, including Databricks, Snowflake, Azure, and advanced analytics platforms.
- Collaboration with Data Engineers, Software Engineers, Architects, and business leaders across the enterprise.
- Opportunities to influence technical strategy, platform evolution, and engineering best practices.
- Culture supporting innovation, continuous learning, knowledge sharing, and professional growth.
- Flexible hybrid work arrangements supporting collaboration and work-life balance.
- Competitive compensation and comprehensive benefits.
Tech Stack
Categories
Data Engineering
About LyondellBasell
LyondellBasell is a public chemical manufacturer that produces olefins, polyolefins, and derivatives used by packaging, automotive, construction, and healthcare companies. It also refines fuels and licenses petrochemical and polyolefin process technologies to other producers. Founded in 2007 and headquartered in Houston, the company operates globally, selling polymers, chemicals, and plastics that serve as industrial feedstocks and materials for everyday products.