<p style="text-align:left;">Be an essential element to a brighter future. </p><p style="text-align:inherit;"></p><p style="text-align:left;">We work together to transform essential resources into critical ingredients for mobility, energy, connectivity and health. Join our values-led organization committed to building a more resilient world with people and planet in mind. Our <a href="https://www.albemarle.com/about/our-values">core values</a> are the foundation that make us successful for ourselves, our customers and the planet. </p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Job Description</b></p><p style="text-align:inherit;"></p><div><div><p><b><span>Key Responsibilities</span></b><span> </span></p></div><div><ul><li><p><span><span>Design and implement scalable data pipelines and analytics solutions using Azure services.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Develop and maintain data models, ETL processes, and data integration workflows.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ensure data quality, governance, and security across all analytics platforms.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Create interactive dashboards and visualizations to support business decision-making.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Optimize performance of data systems and troubleshoot issues as needed.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Contribute to the development and deployment of machine learning models and statistical analyses.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Participate in version-controlled development workflows and collaborative analytics projects.</span></span><span> </span></p></li></ul></div><div><p><b><span>Qualifications</span></b><span> </span></p></div><div><ul><li><p><span><span>Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>4-6 years of experience in data engineering</span></span></p></li></ul></div><div><ul><li><p><span><span>Hands-on experience with database and cloud platforms (Databricks, Spark, Microsoft SQL).</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience developing and maintaining data governance and security frameworks across Databricks and enterprise data warehouse (EDW) ecosystems, including access controls, data lineage, auditability, and secure data-sharing practices.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with Azure Data Factory for orchestrating data workflows.</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Proficiency in Microsoft SQL Server for data storage and querying.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Hands-on experience with Azure Data Lake for big data storage and analytics.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with Generative AI tools such as Azure OpenAI or Databricks Genie.</span></span><span> </span></p></li></ul></div><div></div><div><ul><li><p><span><span>Experience with version-control systems (GitHub, etc.).</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Demonstrated ability to use data to make strategic recommendations and inform decisions.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Excellent communication skills with the ability to present findings clearly and concisely.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Proven experience working in collaborative teams, including co-development of models and results.</span></span><span> </span></p></li></ul><p></p><p><b>Technical Skills:</b></p><p>Azure Ecosystem: Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Azure SQL</p><p>Data Engineering: SQL, Python, ETL development, Data Warehousing</p><p><b>Preferred:</b> Experience with Enterprise Applications such as SAP, Salesforce, Workday, Adaptive Planning</p></div></div><p></p><p><b><span>Benefits of Joining Albemarle</span></b></p><ul><li><p><span>Competitive compensation</span></p></li><li><p><span>Comprehensive benefits package</span></p></li><li><p><span>A diverse array of resources to support you professionally and personally.</span></p></li></ul><p></p><p>We are partners to one another in pioneering new ways to be better for ourselves, our teams, and our communities. When you join Albemarle, you become our most essential element and you can anticipate competitive compensation, a comprehensive benefits package, and resources that foster your well-being and fuel your personal growth. Help us shape the future, build with purpose and grow together.</p>

<p>Albemarle leads the world in transforming essential resources into critical ingredients for mobility, energy, connectivity, and health. From our strength in Bromine and Lithium specialties, we partner with customers to pioneer new ways to move, power, connect and protect with people and planet in mind. As a values-driven company, we understand it is no longer enough to build things better, stronger and faster. We have to be cleaner, safer and smarter. Through the world&rsquo;s most diverse and reliable supply chain, we adapt, manage and utilize our world&rsquo;s most essential resources to create the greatest value out of every molecule. To help lead the way in progressing modern living, we have also to lead the way in safe and responsible operations. We are committed to building a more resilient world. We embrace the diversity of experience, talent, and thought. We work hard to create an inclusive work environment that empowers you to openly and honestly communicate, create and innovate. Our career opportunities span the globe from the United States to Australia. Your decision to join our team will be rewarded with a positive, team-oriented workplace that inspires personal and professional growth. We will make every effort to support your career goals and create opportunities for you to realize your full potential. This is our culture. This is our commitment.</p>

Data Engineer

<p>Be an essential element to a brighter future. </p><p></p><p>We work together to transform essential resources into critical ingredients for mobility, energy, connectivity and health. Join our values-led organization committed to building a more resilient world with people and planet in mind. Our <a href="https://www.albemarle.com/about/our-values">core values</a> are the foundation that make us successful for ourselves, our customers and the planet. </p><p></p><p><b>Job Description</b></p><p></p><div><div><p><b><span>Key Responsibilities</span></b><span> </span></p></div><div><ul><li><p><span><span>Design and implement scalable data pipelines and analytics solutions using Azure services.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Develop and maintain data models, ETL processes, and data integration workflows.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ensure data quality, governance, and security across all analytics platforms.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Create interactive dashboards and visualizations to support business decision-making.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Optimize performance of data systems and troubleshoot issues as needed.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Contribute to the development and deployment of machine learning models and statistical analyses.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Participate in version-controlled development workflows and collaborative analytics projects.</span></span><span> </span></p></li></ul></div><div><p><b><span>Qualifications</span></b><span> </span></p></div><div><ul><li><p><span><span>Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>4-6 years of experience in data engineering</span></span></p></li></ul></div><div><ul><li><p><span><span>Hands-on experience with database and cloud platforms (Databricks, Spark, Microsoft SQL).</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience developing and maintaining data governance and security frameworks across Databricks and enterprise data warehouse (EDW) ecosystems, including access controls, data lineage, auditability, and secure data-sharing practices.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with Azure Data Factory for orchestrating data workflows.</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Proficiency in Microsoft SQL Server for data storage and querying.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Hands-on experience with Azure Data Lake for big data storage and analytics.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with Generative AI tools such as Azure OpenAI or Databricks Genie.</span></span><span> </span></p></li></ul></div><div></div><div><ul><li><p><span><span>Experience with version-control systems (GitHub, etc.).</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Demonstrated ability to use data to make strategic recommendations and inform decisions.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Excellent communication skills with the ability to present findings clearly and concisely.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Proven experience working in collaborative teams, including co-development of models and results.</span></span><span> </span></p></li></ul><p></p><p><b>Technical Skills:</b></p><p>Azure Ecosystem: Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Azure SQL</p><p>Data Engineering: SQL, Python, ETL development, Data Warehousing</p><p><b>Preferred:</b> Experience with Enterprise Applications such as SAP, Salesforce, Workday, Adaptive Planning</p></div></div><p></p><p><b><span>Benefits of Joining Albemarle</span></b></p><ul><li><p><span>Competitive compensation</span></p></li><li><p><span>Comprehensive benefits package</span></p></li><li><p><span>A diverse array of resources to support you professionally and personally.</span></p></li></ul><p></p><p>We are partners to one another in pioneering new ways to be better for ourselves, our teams, and our communities. When you join Albemarle, you become our most essential element and you can anticipate competitive compensation, a comprehensive benefits package, and resources that foster your well-being and fuel your personal growth. Help us shape the future, build with purpose and grow together.</p>

Data Engineer

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About the Company

Albemarle Corporation

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