Lead Data Engineer - Hybrid: Remote 3 days/wk

LyondellBasell Industries

Poznań

Hybrid

PLN 240,000 - 360,000

Full time

14 days+

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Benefits offered by this job

Remote work policy
Competitive salary and benefits

Job summary

LyondellBasell Industries in Poznań is seeking a Lead Data Engineer to define and govern end-to-end data architecture that supports APS and enterprise needs. You will lead data modeling, integration, and cloud-based solutions across ERP and analytics environments.

The role combines strategic planning with hands-on delivery in a fast-moving, agile setting, working with business leaders to turn data into competitive advantage using modern data practices.

Qualifications

  • Bachelor’s degree or higher in Computer Science, Engineering, Business, or related field.
  • 12+ years of relevant experience in data architecture, data engineering, analytics platforms, or enterprise data management.
  • Experience creating logical and physical data models including relational, dimensional, and analytical schemas.

Responsibilities

  • Define enterprise and APS aligned data strategy and architectural guardrails.
  • Translate business requirements into executable data solutions with hands-on involvement.
  • Partner with APS Digital Transformation Panel to implement end-to-end data architecture and governance.
  • Develop data integration, ingestion, and transformation across ERP and non-ERP systems.
  • Design and support data ingestion pipelines, data transformations, and analytical datasets.
  • Ensure scalable, secure data solutions across ERP, cloud data services, analytics, and AI enablement.

Skills

Data architecture
Data modeling
Cloud platforms
ETL pipelines
ERP integrations
Agile / Scrum
Data governance
DevOps / DataOps

Education

Bachelor’s degree in CS/Engineering

Tools

Snowflake
Azure
AWS
GCP
SAP

Job description

LyondellBasell Industries in Poznań is seeking a Lead Data Engineer to define and govern end-to-end data architecture that supports APS and enterprise needs. You will lead data modeling, integration, and cloud-based solutions across ERP and analytics environments.

The role combines strategic planning with hands-on delivery in a fast-moving, agile setting, working with business leaders to turn data into competitive advantage using modern data practices.

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