Manufacturing Data Engineer - Azure Platforms

• Design, develop, and implement data pipelines and ETL processes using tools like Databricks and Azure Data Factory.
• Collaborate with IT and business teams to set up advanced cloud data infrastructure and support AI-driven models for material/process/product design.
• Ensure data integrity, quality, and security across all data systems, employing CDI and CAI tools.
• Optimize and manage data processing performance, including tuning queries and indexing strategies.
• Lead the migration of on-premises data systems to cloud-based solutions, focusing on Azure.
• Implement and manage data backup, recovery, and disaster recovery plans.
• Serve as the technical lead in strategic data management projects, designing and optimizing data pipelines and cloud infrastructure.

• Bachelors degree or a masters degree (preferred) in computer science, data engineering, or a related field.
• Minimum of 6 years of related work experience after a bachelors degree or 4 years after a masters degree.
• Expertise in data engineering, with a focus on MS SQL and Azure SQL Database.
• Proficiency in data modeling, ETL processes, and data integration tools, with practical experience in Databricks and Azure Data Factory.
• Strong understanding of data security, backup, and recovery best practices.
• Experience with CI/CD pipelines and automation for data deployments, with proficiency in Python.
• Proficiency with infrastructure as code and cloud infrastructure management, particularly on the Azure platform.
• Proven understanding of modern data architectures and concepts such as real-time data distribution and processing (Kafka, Flink), and modern data warehouse tools (e.g., Databricks).
• Industry experience in manufacturing, automotive and/or chemical data, with at least basic domain knowledge.
• Communication & Collaboration:Communicates clearly and concisely, while engaging proactively with colleagues at all levels of the organization.
• Value for Customers:Anticipates, understands and meets internal/external customers needs and expectations. Develops solutions based on a customer centric approach.
• Innovation:Drives and supports innovative ideas, while taking informed risks to seek and develop new or improved solutions.
• Drive & Execution:Proactively identifies what needs to be done and takes action. Explores new ways and pursues new opportunities.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.