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(senior) data architect:in (m/w/d)

Granada (18001)
T-Systems Iberia
Publicada el Publicado hace 4 hr horas
Descripción

We create technology with purpose to generate a positive impact on society. We are one global team, guided by respect, integrity, and a passion for doing better every day. Inscríbase ahora, lea los detalles del trabajo desplazándose hacia abajo. Verifique que posee las habilidades necesarias antes de enviar una solicitud. We are Digital Business (DBIZ), a core part of Deutsche Telekom Technik (DTT), the entity responsible for planning, building, and operating Germany's wireless and optical networks. As a catalyst for digital transformation, DBIZ bridges the gap between innovative ideas and technical reality. We provide end-to-end digitization solutions—from initial solution design to full-scale software implementation. Our mission is to drive cultural change and generate synergies across all specialist areas through a consistent, holistic view of the DTT landscape. These teams are the engine of our data-driven strategy, carrying end-to-end responsibility for the data lifecycle on the ODE. Data Ingestion: Seamlessly bringing diverse data sources into the ODE. Building and refining high-impact data products that empower DTT. Operations: Ensuring the reliability and excellence of our data products in a live environment. You will work on data-projects that optimize the planning, building, and operation of our fixed-line and mobile networks. GCP Infrastructure Management: Efficiently deploy and manage robust infrastructure on Google Cloud Platform (GCP). This includes designing network architectures (Shared VPC, Hub-and-Spoke), configuring DNS, VPN, Load Balancing, and core services like GKE, Cloud Run, and Compute Engine. Automation & CI/CD: Implement and manage infrastructure as code using Terraform. Integrate and optimize GitLab Magenta CI/CD pipelines to automate deployment, testing, and configuration across DEV, TEST, and PROD environments. Data Engineering & AI: Design data processing workflows using Hadoop/Hive and PySpark, orchestrated via Airflow/Composer. Handle data integration from various sources (CDI, TARDIS APIs, GCS) and implement AI solutions using Google Vertex AI. Security & Compliance: Enforce rigorous security measures, including IAM policies, Secret Manager, firewalls, and Identity-Aware Proxy (IAP). Consultancy & Analysis: Act as a strategic consultant for Product Owners and stakeholders. GCP Expertise: Deep proficiency in Google Cloud Platform. Mandatory certification as a GCP Cloud Architect or Data Engineer. Solid knowledge of Terraform. Skilled in Python for application development and automation. Data & Orchestration: Proficiency in Hive, PySpark, BigQuery, and Airflow. DevOps: Strong experience with GitLab CI/CD and containerization (Kubernetes/GKE). Architecture & Design: Proven track record in specifying end-to-end architectures, microservices, and cloud-native solutions. Security & Networking: Deep understanding of cloud network security, IAM, and encrypted data management. xohynlm Agile mindset with practical experience in Scrum or Kanban. T-Social: social initiatives (sports, community, health, ...) Hybrid work model (remote/on-site) Flexible working hours Customized training: access to Coursera to learn whatever you want, whenever you want Weekly language classes (English & German) Flexible compensation plan (health insurance, meal vouchers, childcare, transport) Social fund Free access to specialist services (medical, legal, wellness) ~

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