About this role
Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
Your Key Responsibilities
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Data Pipeline Development: Design, construct, and maintain scalable data pipelines to automate the collection, transformation, and integration of large datasets from various sources.
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Data Model Optimization: Develop and optimize data models and architectures to ensure efficient data storage and retrieval that support business analytics and reporting needs.
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Collaborative Data Solutions: Work closely with data scientists, analysts, and other stakeholders to implement data solutions that drive strategic business decisions and insights.
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System Performance Enhancement: Monitor, troubleshoot, and enhance the performance of data systems, ensuring data quality, integrity, and security consistently.
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Documentation and Compliance: Create comprehensive documentation for data processes and workflows; ensure compliance with data governance policies and industry regulations.
Your Qualifications
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Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field
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Experience: Minimum of 2-3 years of experience in data engineering or related roles
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Very strong language skills in English (German is a plus)
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Technical Skills:
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Experience with integration of data from multiple data sources and IT systems (e.g., ERP/SAP, DWH/SAP-BW, Web Services, CRM/Salesforce, MES, etc.);
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Experience with in working with Cloud environments and services, preferably with Microsoft Azure (e.g., Azure Data Factory, Data Lake, IoT Hub, Databricks, etc.);
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Expertise in programming languages such as Python or Java and experience with SQL and NoSQL databases. Software development experience is a plus;
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Knowledge of ETL techniques and frameworks, such as ADF, PowerCenter, NiFi, Sqoop.
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Analytical Skills: Data Analysis and Visualization (eg. Power BI, Tableau)
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Soft Skills: good communication skills, effective team player, strong organizational skills.
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Other Qualifications: attention to detail, problem solving attitude.
As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
Your Contact
Schaeffler Romania S.R.L.
Raluca Dumitru
Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization & Information Technology;
Other facts
About Schaeffler
The Schaeffler Group has been driving forward groundbreaking inventions and developments in the field of motion technology for over 75 years. With innovative technologies, products, and services for electric mobility, CO₂-efficient drives, chassis solutions and renewable energies, the company is a reliable partner for making motion more efficient, intelligent, and sustainable – over the entire life cycle. Schaeffler describes its comprehensive range of products and services by means of eight product families: From bearing solutions and all types of linear guidance systems through to repair and monitoring services. Schaeffler is with around 110,000 employees and more than 250 locations in 55 countries, one of the world’s largest family-owned companies and one of Germany’s most innovative companies.
Legal Notice: https://www.schaeffler.com/content.schaeffler.com/en/meta/impressum/imprint.jsp
What you'll do
- The role involves designing, constructing, and maintaining scalable data pipelines, as well as optimizing data models for efficient storage and retrieval. Additionally, the position requires collaboration with data scientists and analysts to implement data solutions that support strategic business decisions.
Ready to join Schaeffler?
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