T-Systems Iberia
Information Technology And Services
ExpertDataScientist(m/f/d)
Neural analysis suggests this role is
optimal for mid candidates.
“Expert Data Scientist (m/f/d) at T-Systems Iberia. Skills: Data Science, Data Engineering, Python, CI/CD. Design scalable data solutions. Implement scalable data solutions”
Industry & Context.
What They're Looking For.
Must Have
Background in Data Science, Background in Software Engineering, Background in Data Engineering, Experience with Databases, Advanced proficiency in Python development, Understanding of GIT, Understanding of CI/CD workflows, Basic Linux knowledge, Basic Bash knowledge
Nice to Have
NoSQL systems experience preferred, Kubernetes deployments preferred, Docker deployments preferred, Familiarity with cloud computing environments preferred, Familiarity with cloud services preferred
What You'll Do.
Design scalable data solutions
Implement scalable data solutions
Partner with stakeholders
Understand business challenges
Translate challenges into technical solutions
Develop reusable solution architectures
Develop scalable solution architectures
Optimize ETL workflows
Maintain ETL workflows
Optimize data pipelines
Maintain data pipelines
Build onboarding processes
Optimize onboarding processes
Maintain onboarding processes
Improve self-service capabilities
Develop CI/CD pipelines
Maintain CI/CD pipelines
How You'll Work.
Team & Collaboration
Cross-functional teams; Operations teams; Security teams; Connectivity teams; Internal customer teams
Full Job Description
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. Project Description: 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 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 ## Qualifications Skill 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 * Famil
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