Data Engineer PFS Admin & Tool

T-systems International
Madrid, Spain
2 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German

Tech stack

Java (Programming Language) Application Lifecycle Management Big Data Cloud Computing Extract Transform Load (ETL) Data Structures DevOps Monitoring of Systems Python (Programming Language) Network Control Prometheus Data Processing
+10 more
Grafana Gitlab Containerization Kubernetes Apache Flink Data Analytics Apache Kafka Virtual Agents Data Pipelines Artifactory

Job description

The team is responsible for the development of Data Analytics & AI Use Cases for the Network Control Platform of Deutsche Telekom Germany (AAA Fixed Net Germany). This also includes our real-time data processing pipeline running on an on-prem kubernetes platform. We are looking for Data Engineer which will be responsible for the entire lifecycle and further development of the data processing pipelines. You will be working in a team with DataScientists and DevOps Engineers. You also will be working closely with other internal teams, internal customers and external suppliers. Responsibilities and Duties:

  • Being responsible for the entire lifecycle management of a realt-time data processing pipeline
  • Development and Optimization of Data Pipelines (ETL)
  • Integration of new data sources
  • Implement new technologies and tools to enhance data processing capabilities
  • Implementation and operation on Kubernetes based environments
  • System Monitoring and Maintenance to guarantee 24/7 availability.
  • Rollout management throughout the entire application lifecycle based on ITIL/corporate processes (Incident/problem/change)
  • Collaborate closely with DataScientists and Customers
  • Willingness to perform tasks outside of regular working hours., If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team! T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer. Solicitar ahora Guardar trabajo Automatically Get Matched to Data Engineer Jobs Let our AI agent search and match you to the best jobs from across the web Try it now

Requirements

  • Know-how in Programming Language Java and Python
  • Experience with Big Data technologies like Apache Kafka and Apache Flink
  • Experience in optimizing data processing workflows
  • Ability to analyze complex data structures and develop efficient solutions.
  • Familiarity with cloud and container technologies (esp. Kubernetes Environments)
  • Fundamental know-how in DevOps CI/CD tools (GitLab, Artifactory, Helm, Flux, …) and monitoring systems like Grafana, Promtail, Prometheus
  • Strong teamwork and communication skills, especially in interdisciplinary collaboration.
  • Problem-solving mindset and ability to work independently.
  • Good English skills, both written and spoken, basic German skills would be advantageous.

Nice-to-have Requirements:

  • Experience in classic and agile forms of cooperation.

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 for being part of T-Systems!

About the company

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Descripción de la empresa

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.

Descripción del empleo

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