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Location
In office (Bengaluru)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
Company
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Continental is a German automotive supplier founded in Hanover in 1871 as a rubber manufacturer, and it remains one of the largest tyre makers in the world alongside its vehicle technology business. Its automotive division supplies braking and safety systems, driver assistance sensors, displays, vehicle networking and software, while separate businesses cover tyres for cars and commercial vehicles and industrial rubber products under ContiTech. Listed in Frankfurt, the group spun off its powertrain business as Vitesco in 2021 and separated its automotive division as Aumovio in 2025 to leave tyres and ContiTech as the core.

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 ContiTech 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. ContiTech's industrial growth areas are primarily in the areas of energy, agriculture, construction, and surfaces. In addition, ContiTech serves the automotive and transportation industries as well as rail transport.

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.

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