Lead Data Engineer
LyondellBasell2 months ago
Poznań, PolandStaff+
Responsibilities
- Own APS data architecture, strategy, governance, and end-to-end data solutions across ERP platforms, cloud services, analytics, and AI enablement.
- Translate business requirements into logical, physical, analytical, and enterprise data architecture designs.
- Design and support data ingestion pipelines, integrations, data transformations, data conversions, and analytical datasets.
- Develop architecture for data lakes, cloud data warehouses, data flows, analytics, visualization, and consumption patterns.
- Define data models, metamodels, business vocabularies, taxonomies, standards, and reference architectures.
- Manage master data, metadata, data governance, data accessibility, and data asset reuse.
- Partner with the APS Digital Transformation Panel and technology and business leaders to prioritize and deliver initiatives.
- Provide technical guidance and mentoring to application, engineering, and digital technology teams.
- Support cloud migrations, ERP data solutions, real-time data patterns, and data-driven capabilities across operational and commercial domains.
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, Business, or a related field.
- At least 12 years of relevant experience in data architecture, data engineering, analytics platforms, or enterprise data management.
- At least 6 years of experience creating logical and physical data models, including relational, dimensional, and analytical schemas.
- At least 5 years of experience as a Data Architect supporting cloud-based BI, analytics, and data platform implementations.
- Hands-on experience designing and implementing cloud data platforms, data lakes, and cloud data warehouses using Azure, AWS, or GCP.
- In-depth knowledge and hands-on experience with Snowflake and Azure SQL.
- Experience with ERP data models, enterprise transactional systems, big data, semi-structured data, and real-time or near-real-time data patterns.
- Experience migrating data platforms from on-premises environments to the cloud.
- Strong understanding of data governance, master data management, and metadata-driven architectures.
- Experience with modern BI and visualization platforms from an architectural perspective.
- Familiarity with DevOps, CI/CD, DataOps, Agile delivery practices, and Scrum.
- Familiarity with supply chain, manufacturing, and inventory management processes; SAP knowledge is a plus.
- Data Engineering Certification from Microsoft Azure, AWS, or Google is required, with Microsoft Azure preferred.
- Strong collaboration, communication, problem-solving, stakeholder management, independent working, and technical leadership skills.
Benefits
- Competitive salary and benefits package.
- Opportunities for personal and professional growth, specialist collaboration, and national and international networking.
- Eligible employees may work from home up to three days per week under the company’s Global Remote Work Policy.
- Inclusive work environment emphasizing diversity, equity, and inclusion.
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.