Lead Data Engineer

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!

Responsibilities: As a Lead Data Engineer, you will be responsible for: 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.

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? 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