At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. It doesn't matter when or where you work. It's about doing work that matters to move society forward. For this reason, we will do everything possible to ensure that you have every opportunity to develop by offering you a support network, excellent technology, a new work environment and the freedom to work independently. We develop hybrid cloud and artificial intelligence solutions and drive the digital transformation of companies, industry, the public sector and, ultimately, society as a whole.
Our mission is to create a framework for a self-healing network. By integrating real-time data, highly automated and modular processes and proactive anomaly detection and resolution, we enable an environment in which changes are safely introduced and undesirable conditions are avoided or corrected as quickly as possible.
In this way, we are driving the transformation towards more efficient and resilient network management.
As a Data Scientist on this project, you will design, implement, and review robust code solutions, orchestrate and optimize ETL pipelines, and work directly with large-scale datasets utilizing technologies such as Python, Spark, Cloudera, and Hadoop. Your responsibilities will include identifying meaningful patterns and generating actionable insights from complex data, translating these findings into strategic recommendations. You will collaborate closely with your Kanban team and actively contribute to regular agile ceremonies, with your workflow supported by Jira.
At least 3 years of programming with Python, including extensive experience with Pandas for data manipulation and analysis
* Solid understanding of Hadoop ecosystem
* ETL pipeline development
* Familiarity with machine learning workflows
Hands-on experience with Apache Spark (preferably PySpark) and Cloudera platform;
• Practical knowledge of Elasticsearch for data indexing and querying
Hybrid work model (teleworking/on-site).
~ Continuous training: Preparation for certifications, access to Coursera, weekly English and German classes...
~ Flexible compensation plan: health insurance, meal vouchers, childcare, transport assistance...
~ Social fund.
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