Data Integration and Modelling Specialist

Company Description

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 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets.

Job Description

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.

Qualifications

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 PBI 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.

Preferred Qualifications:

Experience with specific data management and warehousing systems (e.g., SAP BW, Azure, AWS).

Knowledge of industry-specific data management practices and standards.

Additional Information

The multi-cultural and international environment of a global player

Chance to solve problems, shape innovations and contribute to a change

Development of a career at Continental

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

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