Job Description

As one of the first members in this new team, you will have the unique opportunity to support recruitment, and onboard, and mentor young talents. Furthermore, you will drive the development of innovative data products in close collaboration with our headquarter, data scientists and corresponding business analysts who will oversee our solution portfolio and manage customer interactions and requirements gathering. You will leverage the latest technologies and trends to create data pipelines that fuel digital solutions enhancing customer experience, improving operational efficiency, and driving sustainable profitable growth. If youre excited about joining this new team and making a significant impact in the digital space, we invite you to apply! Job Description In your new role you will: Data serving: drive centralized data projects in cross-functional coordination with IT and business counterparts (e.g. data scientists, domain experts, business owners) to deliver valuable data products by implementing data pipelines Data product ownership: take ownership to design, build, deploy and maintain scalable and reliable data assets, pipelines and architectures in a DevOps environment as a foundation for analytics applications for our internal customers in, e.g., R&D, marketing, quality management, supply chain management and finance. Technical leadership: drive technical excellence and innovation within your work and be a role model for younger engineers to ensure best practices in data engineering, software development and DataOps are followed, while staying updat Your Profile You are best equipped for this task if you have: A degree in Information Technology, Computer Science , Engineering or a related field At least one year of relevant work experience in data science or data engineering including design, implementation and operational support of data driven solutions Solid understanding of concepts in the following areas:Data Architectures, Data Pipelines, Data Warehouses, Data Lakes, Data Quality, Data Security Proven expertise on the latest toolsets and trends on data ingestion, storage, ETL, integration and modeling (e.g., Hadoop, Spark, Impala, Hive, Kafka, Openshift) Proficiency in Python, any additional knowledge of programming languages is a plus (e.g., Scala, Java, Rust)