Data Engineer Architect (F/M/D)

Working at Freudenberg: We will wow your world!

• Data Architecture: Design and implement robust data architectures that support AI and business process automation solutions.
• Data Engineering: Build, maintain, and optimize data pipelines and ETL processes to ensure efficient data flow and accessibility for analytics and automation purposes.
• AI Integration: Collaborate with AI developers to integrate AI solutions with existing data infrastructure, enhancing business process automation.
• Business Process Automation: Utilize Microsoft Power Platform tools to design and implement automated business processes.
• Data Analysis and Reporting: Develop and maintain data analytics and reporting solutions to support decision-making and optimize business operations.
• Data Management: Enforce data governance policies, ensuring data integrity, accuracy, and security across all platforms.
• Collaboration: Work closely with IT, development teams, and business stakeholders to understand data requirements and deliver optimal solutions.
• Troubleshooting and Support: Provide ongoing support, troubleshoot data-related issues, and perform regular updates and maintenance to ensure system reliability and performance.
• Documentation: Maintain comprehensive documentation of data engineering processes, configurations, and best practices.

Bachelor’s degree in computer science, Information Technology, Data Science, or a related field with minimum of 2-3 years of experience in data engineering, with a proven track record of supporting AI and business process automation solutions.

Technical Skills:

Proficient in Microsoft SQL Server, Azure Data Services, and Power BI.

Strong understanding of data structures, algorithms, and database management.

Experience with Microsoft Power Platform tools (Power Apps, Power Automate, AI Builder).

Knowledge of programming languages such as Python, R, and SQL.

Familiarity with AI and machine learning concepts and their application in business processes.

Expertise in master data management principles and practices.

Experience in data engineering, including building and optimizing data pipelines and ETL processes.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and interpersonal skills.

Ability to work independently and as part of a team.

Attention to detail and commitment to delivering high-quality work.

Preferred Qualifications:

Certifications: Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Power Platform Solution Architect Expert.

Experience: Prior experience in developing AI-driven data solutions.

Industry Knowledge: Understanding of industry-specific data engineering requirements and best practices.

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.