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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
Qualifications:
Bachelor’s degree in data science, Information Technology, Business, or a related field
- Minimum of 3-5 years of experience in data integration, data modelling, or a related role
- Proficiency in data management systems, databases, and data warehousing tools Strong SQL and Excel skills are a plus
- Excellent verbal and written communication skills. Ability to work effectively with internal stakeholders
- Strong attention to detail and organizational skills
- 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) preferred
- Knowledge of industry-specific data management practices and standards preferred
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 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets.
Guided by the vision of being the customer's first choice for material-driven solutions, the Conti Tech group sector focuses on development competence and material expertise for products and systems made of rubber, plastics, metal, and fabrics. These can also be equipped with electronic components in order to optimize them functionally for individual services. Conti Tech's industrial growth areas are primarily in the areas of energy, agriculture, construction, and surfaces. In addition, Conti Tech serves the automotive and transportation industries as well as rail transport.
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About Continental

Continental
BootstrappedAn automotive dealer that supplies vehicles, tires, spare parts and accessories to international markets.
201-500
Employees
Anchorage
Headquarters
Reviews
3.8
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
3.2
Career
3.8
Management
2.8
72%
Recommend to a Friend
Pros
Good pay and compensation
Great people and coworkers
Good work environment
Cons
Management issues and unrealistic goals
Low salaries for some positions
High stress and pressure
Salary Ranges
0 data points
L2
L3
L4
L5
L6
L2 · Business Operations L2
0 reports
$105,420
total / year
Base
$42,168
Stock
$52,710
Bonus
$10,542
$73,794
$137,046
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Challenge
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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