T-Systems Iberia logo

Data Engineer

T-Systems Iberia
Remote
Granada, AN· 2 months ago

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Data Engineer PFS Admin & Tool (m/f/d)

Location: Granada, AN, es

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

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.

Requisitos

Must-have 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.

More informations
Being on-call for approx. 6 weeks per year and rarely performing changes outside of regular working hours 

Información adicional

What do we offer you?

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!

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.

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