Data Engineer responsible for developing data solutions and integrating systems for advanced analytics at Lilly. Focusing on data pipelines and solutions ensuring data quality and compliance.
About the role
- Junior Data Engineer assisting with data-driven use-cases in the payment sector. Contributing to the establishment of a central data platform at S-Payment.
Responsibilities
- You are passionate about data, complex relationships, and everything related to data, and you want to help shape the payment world.
- You support the development of the company-wide central data platform for data and AI use cases.
- You develop and establish new data-driven use cases in the payments environment.
- You work cross-functionally and continuously to ensure very high data quality.
- You bring your motivation for working with data into daily work and inspire business units with data-driven use-case ideas.
Requirements
- Master's degree or PhD in Mathematics, Computer Science, Physics, or a related data science field.
- Strong knowledge of Python, Spark/PySpark, Hadoop, SQL, and other Big Data technologies.
- Experience presenting results, e.g., using dashboards such as Power BI, Tableau, or Grafana.
- Fluent German and good English skills.
- Nice to have (not required): experience with RStudio, AI frameworks, Spark ML, TensorFlow.
- Knowledge of MQ technologies and experience with Docker.
Benefits
- Flexible working hours
- Vacation days plus mobile working
- Individual training and development
- Bike leasing
- Cafeteria
- Company events
- Sports offerings
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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