Senior Data Engineer

Company Description

Join us on a transformative journey where we are actively shaping the future of the digital healthcare ecosystem. As a Senior Data Engineer, you will be at the forefront of driving impactful changes leveraging cutting-edge technology and data. If you are passionate about unlocking the potential of data to bring about tangible change and are excited to be part of a company committed to innovation and excellence in healthcare, we offer you a platform where your contributions will shape the future.

Gerresheimer, a global leader in the healthcare and cosmetics industries, is a listed company on the MDAX with over 1.9 billion euros in revenue and a global workforce of more than 11,000 employees.

Job Description

• Design, develop, and maintain scalable and reliable data pipelines, enabling effective data processing and transformation across the organization.
• Integrate data from diverse sources, including legacy systems such as SAP, ensuring seamless migration and transformation into modern data platforms.
• Develop, manage, and optimize large-scale data architectures, including Data Warehouses and Data Lakes, using both on-prem and cloud-based technologies.
• Work closely with stakeholders to understand business requirements and translate them into technical solutions that enhance decision-making through data insights.
• Implement and manage data solutions in cloud environments, with a focus on Microsoft Azure services such as Azure Data Factory, SQL and NoSQL Databases, and other related cloud technologies.
• Ensure data quality, governance, and security across all data solutions, adhering to best practices and regulatory requirements.
• Optimize ETL processes and ensure efficient handling of structured and unstructured data.
• Collaborate with cross-functional teams, including data scientists, analysts, and business leaders, to deliver high-quality data solutions that drive business impact.
• Monitor data system performance and troubleshoot issues to ensure operational continuity and efficiency.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 3+ years of experience in data engineering, data architecture, or similar roles.
• Strong experience with legacy data systems such as SAP and hands-on expertise in data migration strategies to modern platforms.
• Proven expertise in building and maintaining Data Warehouses, preferably with experience in hybrid data environments.
• Experience with cloud data solutions, particularly in Microsoft Azure environments.
• Proficient in SQL, Python, and ETL/ELT tools.
• Strong understanding of data modeling, data governance, and data security practices.
• Excellent problem-solving skills and ability to optimize large-scale data architectures for performance and reliability.
• Excellent communication skills and ability to work effectively in cross-functional, distributed teams.

Additional Information

What We Offer:

• Competitive salary and benefits package.
• Flexible work hours and remote work options.
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The chance to work on innovative and impactful projects.
• We look forward to your application!