Expert Data Scientist

T-Systems
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Clean Code Principles Automation of Tests Bash Shell Cloud Computing Databases Continuous Integration Information Engineering Extract Transform Load (ETL) Data Structures Linux JSON Python (Programming Language)
+8 more
NoSQL Software Engineering Gitlab Git Kubernetes Restful APIs Data Pipelines Docker

Job description

  • Design and implement scalable data solutions for internal customer use cases
  • Partner with stakeholders to understand business challenges, translate them into technical solutions, and pressent results
  • Develop reusable and scalable solution architectures instead of isolated proof-of-concept implementations
  • Build, optimize, and maintain ETL workflows, data pipelines, and onboarding processes for new data sources
  • Drive automation and continuously improve self-service capabilities for internal customers
  • Develop and maintain GitLab-based CI/CD pipelines for automated testing, deployment, and operational workflows
  • Collaborate with cross-functional teams including operations (SMOPS), security, connectivity, and internal customer teams, If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!

Requirements

  • Background in Data Science, Software Engineering, or Data Engineering
  • Experience with Databases, preferably NoSQL systems
  • Understanding of REST APIs and JSON-based data structure
  • Advanced proficiency in Python development
  • Understanding ov GIT and CI/CD workflows
  • Kubernetes and Docker deployments
  • Basic Linux and Bash knowledge
  • Familiarity with cloud computing environments and services

Tools & Platforms

  • Python
  • ETL & Data Pipelines
  • Git
  • Bash
  • Clean Coding
  • CICD Automation GitOps
  • Linux
  • Kubernetes
  • Docker

Benefits & conditions

Work environment & flexibility

  • International, dynamic and collaborative environment.
  • T-Social: social initiatives (sports, community, health, …).
  • Hybrid work model (remote/on-site).
  • Flexible working hours.
  • Growth & development.
  • Customized training: access to Coursera to learn whatever you want, whenever you want.
  • Weekly language classes (English & German).
  • International Mentoring Sessions & Experience Days.

Compensation & Benefits

  • Flexible compensation plan (health insurance, meal vouchers, childcare, transport).
  • Telemedicine.
  • Life and accident insurance.
  • Social fund.

Wellbeing & time off

  • 26+ working days of vacation per year
  • Free access to specialist services (medical, legal, wellness)
  • 100% salary coverage during medical leave.

And many more advantages of being part of T-Systems!

About the company

T-Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.

We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.

Apply for this position

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Balancing data science skillings alongside systems engineering rigor

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