Data Engineer

Data Engineer

Vollzeit Kein Homeoffice möglich
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About The Company

LRE Medical GmbH, established in 1961, is a pioneering company specializing in optical and electrochemical analysis systems primarily used in medical diagnostics. With locations in Nördlingen and Munich, the company has built a reputation for delivering high-quality, customer-oriented products that serve the medical diagnostic industry worldwide. Combining innovative technology with a strong commitment to precision and reliability, LRE Medical GmbH continues to be a trusted partner for healthcare providers and diagnostic companies. The company's focus on research and development ensures that it remains at the forefront of technological advancements in the field of medical analysis, supporting better patient outcomes through accurate and efficient diagnostic solutions.

About The Company

LRE Medical GmbH, established in 1961, is a pioneering company specializing in optical and electrochemical analysis systems primarily used in medical diagnostics. With locations in Nördlingen and Munich, the company has built a reputation for delivering high-quality, customer-oriented products that serve the medical diagnostic industry worldwide. Combining innovative technology with a strong commitment to precision and reliability, LRE Medical GmbH continues to be a trusted partner for healthcare providers and diagnostic companies. The company's focus on research and development ensures that it remains at the forefront of technological advancements in the field of medical analysis, supporting better patient outcomes through accurate and efficient diagnostic solutions.

About The Role

As a Werkstudent in Data Engineering & Digitalization at LRE Medical GmbH, you will play a vital role in shaping the future of the company's data infrastructure. This position offers a unique opportunity to contribute to the development of a company-wide reporting platform from the ground up. You will work closely with experienced professionals to integrate data from various enterprise systems, including ERP and document management systems, and help create a robust, scalable data architecture. Your technical focus will be on data connection, structuring, modeling, and ensuring data quality and availability. This role is ideal for students passionate about data engineering, digital transformation, and innovative technologies, providing hands-on experience in a dynamic environment that emphasizes learning, collaboration, and real-world impact.

Qualifications

To be successful in this role, you should be currently enrolled as a student in a relevant field such as Informatics, Business Informatics, Data Science, Data Engineering, or a comparable program. You should have a keen interest in data architectures, data integration, Business Intelligence, digitalization, and artificial intelligence. Basic knowledge of SQL, relational databases, or data modeling is essential. Experience with Power BI, Microsoft Fabric, Python, ETL processes, APIs, or similar technologies is advantageous. Strong analytical thinking, structured working style, and the ability to document technical processes clearly are important. Additionally, self-motivation, attention to detail, teamwork skills, and proficiency in German and English are required to thrive in this position.

Responsibilities

  • Assist in the technical development of a centralized data structure to serve as the foundation for reporting and analytics platforms.
  • Identify, analyze, and connect relevant data sources, particularly from ERP, DMS, and other enterprise systems.
  • Extract, transform, and prepare data for use by controlling and departmental teams.
  • Contribute to the creation of understandable data models and automated, repeatable data workflows.
  • Support efforts to ensure high data quality, consistency, and traceability.
  • Document data sources, interfaces, transformation processes, and technical solutions comprehensively.
  • Participate in the selection, implementation, and ongoing development of data and analytics tools, with a current preference for Microsoft Power BI.

  • Contribute to digitalization and process automation projects, including the use of Microsoft Power Platform.
  • Assist in exploring and testing potential AI and Copilot applications relevant to data and process automation.

Benefits

At LRE Medical GmbH, you will have the opportunity to work on a greenfield project, actively shaping the technical foundation of the company's reporting landscape. You will gain practical experience with tangible benefits for controlling, business units, and management, while expanding your knowledge in Data & Analytics, ERP, document management, process automation, Microsoft 365, and AI. The role offers a high degree of responsibility, allowing you to contribute your own ideas and innovations. You will collaborate with experienced colleagues within an open, supportive culture that values learning and growth. Flexible working arrangements, including remote work and presence at our offices in Nördlingen and Munich, ensure a balanced work-life experience tailored to your needs.

Equal Opportunity

LRE Medical GmbH is committed to creating an inclusive environment where all employees and applicants are treated equally, regardless of gender, age, ethnicity, disability, or background. We believe diversity fosters innovation and excellence, and we welcome candidates from all walks of life to join our team. Our hiring practices are based solely on qualifications and merit, ensuring equal opportunities for everyone interested in contributing to our company's success.

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Data Engineer Arbeitgeber: TaskVerse

Baseplus DIGITAL MEDIA GmbH ist ein hervorragender Arbeitgeber, der eine kreative und kollaborative Arbeitsumgebung in Viersen bietet. Mit 30 Tagen bezahltem Urlaub, flexiblen Arbeitszeiten und der Möglichkeit für Homeoffice unterstützt das Unternehmen die Work-Life-Balance seiner Mitarbeiter. Zudem fördert Baseplus kontinuierliche Weiterbildung und bietet zahlreiche Teamevents, um den Teamgeist zu stärken und persönliche Meilensteine zu feiern.

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