Expert Data Scientist

As part of a dynamic team, you will work on ETL workflows, CI/CD pipelines, and collaborate with cross-functional teams to drive automation and self-service capabilities. Benefits include a hybrid work model, flexible hours, and access to training resources., * Design and implement scalable data solutions for internal customer use cases.

• Partner with stakeholders to translate business challenges into technical solutions.
• Drive automation and improve self-service capabilities for internal customers.

Conocimientos

Python NoSQL databases REST APIs CI/CD workflows Kubernetes Docker Linux Bash, We develop scalable data solutions for internal customers with a strong focus on self-service capabilities and automation. Our goal is to enable customers to create and extend their own use cases through standardized data onboarding processes and reusable solution building blocks. Activity Description And Concrete Tasks

• Design and implement scalable data solutions for internal customer use cases
• Partner with stakeholders to understand business challenges, translate them into technical solutions, and present 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

T-Systems Iberia in Granada seeks a professional to design and implement scalable data solutions for internal customers. The role requires a strong background in Data Science or Software Engineering and advanced proficiency in Python., * Familiarity with cloud computing environments and services.

• Experience with data onboarding processes.
• Knowledge of clean coding practices., Background in Data Science, Software Engineering, or Data Engineering, * 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 of 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

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, 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.

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., And many more advantages of being part of T-Systems! If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!