Lead Data Engineer

Huntsman; Poland; On-site; PLN 280,000 - 420,000; Full time

Job summary

Huntsman is seeking a Lead Data Engineer to architect and evolve our enterprise data platform, enabling scalable analytics and AI-ready data ecosystems across the organization.

You will lead the development of data warehouses and lakes, mentor engineers, and collaborate with stakeholders across Supply Chain, Finance and Sales to deliver strategic data initiatives.

Qualifications

• 10+ years in data engineering, data warehousing, or analytics engineering.
• Strong expertise in SQL, Python, data modelling, ETL/ELT development.
• Proven ability to design, build and operate enterprise-scale data platforms.
• Hands-on experience with Databricks, PySpark, and cloud data ecosystems.

Responsibilities

• Build and maintain scalable enterprise data warehouses and data lakes.
• Drive migrations from legacy data models to modern architectures.
• Design, develop and optimize ETL/ELT pipelines using Databricks, SQL, Python.
• Lead data governance, security, and quality across domains.
• Mentor data engineers and contribute hands-on to critical development.
• Collaborate with Supply Chain, Finance, Sales, and other functions.

Education

Bachelor's degree in IT Engineering, Information systems, Analytics, or related field

Master's degree (preferred)

Tools

Databricks

PySpark

SQL

Python

DatabricksApps

Git & DevOps

Azure Data Factory

Power BI

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.

Role Responsibilities

• Building and maintaining of scalable enterprise data warehouses, data lakes, and monitoring applications
• 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.
• 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.
• Providing technical leadership and mentoring to data engineers and other technical team members while contributing hands‑on to key development activities.
• Defining and promoting data engineering best practices, development standards, and technical guidelines to support sustainable platform growth.
• Partnering with business leaders, process owners, and technology teams to understand requirements and deliver strategic data initiatives that drive business value.
• Acting as a key contributor in Huntsman's data transformation journey, helping shape the future enterprise data landscape and supporting the organization's long-term digital ambitions.

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:

• 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.
• Demonstrated success delivering large-scale data transformation initiatives.
• Ability to translate business requirements into scalable, data-driven solutions.
• Strong analytical and problem-solving skills, with a passion for leveraging data to drive business value.
• 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?

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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