Data Scientist (REF5099W)

Szeged , Hungary
full-time

TLDR

Support the development of scalable data solutions for internal customers, emphasizing self-service, automation, and cross-team collaboration to drive innovation.

About Us: Our portfolio encompasses DT Technik's Network, Voice, and TV platforms. T-SP is responsible for managing the technical CORE service portfolio of Deutsche Telekom, focusing on enhancing customer experience, ensuring sufficient capacity, delivering stable performance, and driving higher efficiency. We provide unified solutions combining laboratory infrastructure, automation, availability, and services to deliver top-notch quality and future-proof, flexible solutions for our customers.

About OneLab: OneLab is the integrated laboratory of TECHN1K, offering centralized laboratory services to DevOps teams within DT Technik and Technology Delivery International. Operating from Bonn and Nuremberg, we provide end-to-end test environments and support Proof of Concepts (PoCs) and trials for innovation projects. Our primary goal is to deliver an Observability Platform to all DevOps squads within T-SP.

Your Role: As part of our team, you will support the development of scalable data solutions for internal customers, emphasizing self-service and automation. Your work will empower customers to create and expand their use cases using standardized data onboarding processes and reusable solution components.

Key Responsibilities:

  • Customer Collaboration: Engage directly with internal customers to understand their business challenges, translate them into technical solutions, and present results effectively.
  • Solution Development: Design scalable and reusable solution architectures rather than one-off prototypes.
  • Data Engineering: Build and maintain robust data pipelines and onboarding processes for integrating new data sources.
  • DevOps Integration: Develop GitLab pipelines to automate testing and streamline processes.
  • Cross-Team Collaboration: Work closely with other teams, including internal customers, SMOPS operations, security, and connectivity teams, to ensure seamless integration and delivery.

What We’re Looking For: We seek a professional with a strong background in data science and data engineering, combined with an interest in DevOps practices. You should be passionate about creating scalable solutions, automating processes, and collaborating with diverse teams to drive innovation and efficiency.

Qualifications

  • Bachelor’s degree in information technology or related technical fields such as computer science, mathematics, engineering, etc.
  • Background in Data Science /ML / Advanced Analytics
  • Experience in NoSQL-Database
  • Experience with REST-API, or JSON-Data structures
  • Enhanced Development knowledge in Python
  • GitLab and CI/CD
  • Experience in Docker and Kubernetes deployments
  • Comfortable working with one of these Elastic or OpenSearch
  • Kaffka
  • Linux
  • Fluency in English
  • You are analytical and solution oriented
  • Experience working in Agile teams
  • Strong awareness of data protection and security in general and specifically in the field of automation
  • You are driven by a willingness to grow and are constantly pushing yourself and your team to try innovative ideas
  • You are interested in telecommunication technologies
  • German language knowledge is an advantage

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, offers a comprehensive range of IT and telecommunications services, focusing on connected living and working solutions. Serving hundreds of large customers across Europe, the company leverages its skilled workforce to build digital infrastructures that empower organizations to innovate and thrive.

View all jobs
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Data Scientist Q&A's
Report this job
Apply for this job