Senior Data Engineer
LyondellBasell14 days ago
Poznań, PolandSenior
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 using source control, automated testing, code reviews, and CI/CD practices.
- Integrate and curate data from enterprise systems, applications, databases, APIs, and cloud platforms.
- Improve data accessibility, governance, performance, engineering practices, and business value.
- Lead technical initiatives and deliver complex enterprise data and digital transformation projects.
Requirements
- BS in Computer Science, Software Engineering, Computer Engineering, or a related technical field; an MS is strongly preferred and a PhD is preferred.
- At least 4 years of professional hands-on data engineering experience with a PhD, 6 years with an MS, or 8 years with a BS.
- Production-grade experience building data products and pipelines as code 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 analytical, operational, and dimensional data models.
- Experience working 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, cluster, and/or cloud computing.
- Ability to lead technical initiatives and work effectively independently and within cross-functional teams.
- Experience with enterprise data platforms, digital transformation initiatives, data products, or large-scale data modernization efforts is strongly preferred.
Benefits
- Flexible hybrid work arrangements supporting collaboration and work-life balance.
- Competitive compensation and comprehensive benefits.
- Opportunities to work across manufacturing, supply chain, commercial, finance, procurement, sustainability, and other enterprise functions.
- Opportunities to influence technical strategy, platform evolution, and engineering best practices.
- Culture supporting innovation, continuous learning, knowledge sharing, and professional growth.
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.