Purchasing Data Integration and Modelling Specialist

The Data Integration and Modelling Specialist is responsible for managing the data infrastructure and business warehouse within the Processes, Systems, and Governance department. This role ensures that all data related to purchasing activities is accurately integrated, modeled, and maintained to support decision-making and strategic initiatives. The specialist collaborates closely with IT, procurement, and other internal stakeholders to optimize data processes and enhance the overall data management framework.

We are looking for a data enthusiastic colleague to join our SMART Purchasing and Digitalization team. If you are passionate about interfaces between business processes and data technologies, you might be just the right fit. Your responsibilities will include:

• Data Integration: Oversee the integration of data from various sources into the business warehouse, ensuring accuracy and consistency.
• Data Modelling: Develop and maintain data models to support reporting and analysis needs within the purchasing department.
• Infrastructure Management: Manage the data infrastructure, including databases and data warehouses, to ensure optimal performance and reliability.
• Data Quality Assurance: Conduct regular audits of data to identify and resolve discrepancies, ensuring high data quality standards.
• System Optimization: Work with IT and procurement teams to enhance the functionality and usability of data management systems.
• Compliance: Ensure all data management activities comply with company policies, industry regulations, and legal requirements.
• Stakeholder Collaboration: Work closely with internal stakeholders, including IT, finance, and operations teams, to ensure alignment and support for data initiatives.
• Training and Support: Provide training and support to internal users on data management best practices and system usage.

• Education: Bachelor’s degree in data science, Information Technology, Business, or a related field.
• Experience: Minimum of 3-5 years of experience in data integration, data modelling, or a related role.
• Technical Skills: Proficiency in data management systems, databases, and data warehousing tools. Strong SQL and Excel skills are a plus.
• Communication Skills: Excellent verbal and written communication skills. Ability to work effectively with internal stakeholders.
• Attention to Detail: Strong attention to detail and organizational skills.
• Problem-Solving: Ability to identify and resolve issues related to data integration and modelling.
• Experience with specific data management and warehousing systems (e.g., SAP BW, Azure, AWS).
• Knowledge of industry-specific data management practices and standards.
• Fluent English, both written and spoken, and German is an advantage

We want our employees to do well with us. That's why we offer them not only an exciting job in an international technology group, but also numerous additional offers such as flexible and hybrid working, sabbaticals and other benefits. Click here to find out more.

Ready to drive with Continental? Take the first step and fill in the online application.

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2022, Continental generated sales of €39.4 billion and currently employs around 200,000 people in 57 countries and markets.

The ContiTech group sector develops and manufactures, for example, cross-material, environmentally friendly and intelligent products and systems for the automotive industry, railway engineering, mining, agriculture and other key industries. Guided by the vision of “smart and sustainable solutions beyond rubber,” the group sector draws on its long-standing knowledge of the industry and materials to open up new business opportunities by combining various materials with electronic components and individual services.