- Design and implement efficient data products to support data processing and analytics needs.
- Develop, maintain, and optimize data pipelines. Drive data product implementations.
- Responsible for integrating data from various source systems and processing it into final datasets that can be utilized by different data products.
- Gather requirements and translate them into technical solutions, plan, estimate and deliver small-mid size projects, according to aligned roadmaps. Proactively providing updates and collaborate closely with the team
- Collaborate with data analysts, data engineers and other stakeholders to deliver data solutions that drive insights and support business needs.
- Analyze data to calculate business KPIs, enhance insights generation through advanced analytics methods, and deliver these insights via an appealing front-end interface.
- Automate repetitive data tasks (testing, deployment, etc.), implement monitoring solutions, and support the production environment to ensure smooth data operations.
- Follow data governance practices, ensuring data security, privacy, and compliance with industry standards and regulations (e.g., GDPR).
- Actively collaborate with data communities, providing best practices and driving enablement to foster a culture of data-driven decision making.
- An excellent university degree in business informatics, business administration, computer science, engineering, mathematics, or in a related field
- At least 2-3 years of experience in data engineering, including working with large-scale data processing and management systems
- Experience with Python, SQL, Pyspark and DevOps implementation (Azure Devops, Jenkins)
- Experience with Power BI is a strong plus (or experience with similar data visualization tool)
- Design and engineering of cloud-based data solutions, preferably Azure Cloud
- Experience in design and implementation of data pipelines by following and ensuring industry standards and best practices.
- Experience in clean, maintainable, and efficient code development
- Good communication skills and the ability to work effectively with both technical and non-technical stakeholders.
- Good team player and collaborator with an ability of helping and empowering others
- Passion for working with data 😊
Your ZEISS Recruiting Team:
Sturcz Noémi, Wenner LiliTop Skills
What We Do
ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023). With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG. Data privacy: www.zeiss.com/data-protection Imprint: http://zeiss.com/publisher This is ZEISS's official LinkedIn account. It follows the ZEISS Netiquette: www.zeiss.com/netiquette
