Data Engineer - Data Quality

Description du poste:

* 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 Lili