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Poland - Krakow
Live, first seen by us 76 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
We are seeking an accomplished and forward-thinking Lead Data Engineer to drive the design, development, and evolution of our next-generation enterprise data platform.
Do you think you’re the right fit for this opportunity?
Build and maintain enterprise data warehouses, data lakes, and monitoring applications
Design and maintain ETL/ELT pipelines using Databricks, SQL, Python, and PySpark
Integrate and standardize data from supply chain, finance, sales, marketing, and other systems
Mentor data engineers and set development standards and best practices
Drive migration from legacy data models
We are seeking an accomplished and forward-thinking Lead Data Engineer to drive the design, development, and evolution of our next-generation enterprise data platform. In this highly visible role, you will lead the creation of a scalable, governed, and AI-ready data ecosystem that powers advanced analytics, operational excellence, intelligent automation, and digital innovation across our global organization. Working closely with the Data Architect and senior stakeholders, you will help shape the foundation of Huntsman's future data ecosystem.
Do you think you’re the right fit for this opportunity? Apply today!
Building and maintaining of scalable enterprise data warehouses, data lakes, and monitoring applications
Designing, developing and maintaining high-performance ETL/ELT pipelines using Databricks, SQL, Python, and PySpark.
Integrating, transforming, and standardizing data from multiple business functions and divisions, including Supply Chain, Finance, Sales, Marketing, and other enterprise systems.
Providing technical leadership and mentoring to data engineers and other technical team members
Driving migration from legacy data model
Bachelor’s degree in IT Engineering, Information systems, Analytics, or a related field. Master’s degree preferred.
10+ years in Data engineering, Data Warehousing, Analytics Engineering, or related fields.
Proven experience designing, building, and operating enterprise-scale data warehouse and data platform solutions.
Strong expertise in SQL, Python, data modelling, ETL/ELT development, and data warehouse architecture.
Hands-on experience with Databricks / DatabricksApps, PySpark, Datalake architecture, API development, Git & DevOps
Knowledge of Azure Data Platform, Azure Data Factory, machine learning enablement, data security and governance, compliance requirements, and reporting solutions such as Power BI.
What we are looking for: - Bachelor’s degree in IT Engineering, Information systems, Analytics, or a related field. Master’s degree preferred. - 10+ years in Data engineering, Data Warehousing, Analytics Engineering, or related fields.
At Huntsman, we pride ourselves on being a people-oriented organization.
In the employer’s words · Read in context
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Day 76
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- Driving migration from legacy data model - Designing, developing and maintaining high-performance ETL/ELT pipelines using Databricks, SQL, Python, and PySpark. - Integrating, transforming, and standardizing data from multiple business functions and divisions, including Supply Chain, Finance, Sales, Marketing, and other enterprise systems.
- Proven experience designing, building, and operating enterprise-scale data warehouse and data platform solutions. - Strong expertise in SQL, Python, data modelling, ETL/ELT development, and data warehouse architecture. - Hands-on experience with Databricks / DatabricksApps, PySpark, Datalake architecture, API development, Git & DevOps
- Hands-on experience with Databricks / DatabricksApps, PySpark, Datalake architecture, API development, Git & DevOps - Knowledge of Azure Data Platform, Azure Data Factory, machine learning enablement, data security and governance, compliance requirements, and reporting solutions such as Power BI. - Demonstrated success delivering large-scale data transformation initiatives.
- Developing and optimizing batch, near real-time, and real-time data processing solutions to meet business and operational needs. - Providing leadership to the organization in the Databricks environment - Enabling advanced analytics, scenario planning, intelligent automation, and AI-driven use cases by delivering scalable and well-governed data solutions.
- Strong expertise in SQL, Python, data modelling, ETL/ELT development, and data warehouse architecture. - Hands-on experience with Databricks / DatabricksApps, PySpark, Datalake architecture, API development, Git & DevOps - Knowledge of Azure Data Platform, Azure Data Factory, machine learning enablement, data security and governance, compliance requirements, and reporting solutions such as Power BI.
- Excellent interpersonal skills, with the ability to collaborate across functions and effectively communicate insights to a multicultural audience. - Knowledge of Supply Chain processes and ERP/SAP environments is considered an advantage. Why join us?
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Description:
Lead Data Engineer
Role Overview
We are seeking an accomplished and forward-thinking Lead Data Engineer to drive the design, development, and evolution of our next-generation enterprise data platform. In this highly visible role, you will lead the creation of a scalable, governed, and AI-ready data ecosystem that powers advanced analytics, operational excellence, intelligent automation, and digital innovation across our global organization. Working closely with the Data Architect and senior stakeholders, you will help shape the foundation of Huntsman's future data ecosystem.
Do you think you’re the right fit for this opportunity? Apply today!
Role Responsibilities:
As a Lead Data Engineer, you will be responsible for:
Experience and Competencies
We are looking for a senior data engineering professional with proven experience building enterprise data warehouses, strong expertise in cloud-based data platforms, ETL development and modern data engineering technologies, and the ability to lead complex data initiatives while remaining hands-on in implementation.
What we are looking for:
Why join us?
If you would like to join an innovative, collaborative and multicultural team, please apply now. Your application will be forwarded to a Talent Acquisition Partner, who will strive to get back to you as soon as they can. We understand that applying for a new job is a big decision and we will work hard to keep you updated and support you along the way.
About Us
At Huntsman, we pride ourselves on being a people-oriented organization. Our family-like atmosphere is cultivated by our diverse groups of team members around the world. We welcome the talent, experience and fresh ideas that employees at all stages of their careers, from interns to seasoned professionals, bring to Huntsman. In return, we offer you the opportunity to become an integral part of a dynamic, industry-leading company, where safety and ethics always come first.
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Poland - Krakow
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