Mid-Level, Senior
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 a Data Engineer who 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.
Being responsible for the entire lifecycle management of a real-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
We are looking for a Data Engineer with strong expertise in real-time data processing, big data technologies, and Kubernetes-based environments, along with excellent programming skills in Java and Python and strong collaboration abilities.
Know-how in Programming Language Java
Know-how in Programming Language Python
Experience with Big Data technologies like Apache Kafka
Experience with Big Data technologies like Apache Flink
Experience in optimizing data processing workflows
Ability to analyze complex data structures and develop efficient solutions
Familiarity with cloud and container technologies, especially Kubernetes Environments
Fundamental know-how in DevOps CI/CD tools such as GitLab
Fundamental know-how in DevOps CI/CD tools such as Artifactory
Fundamental know-how in DevOps CI/CD tools such as Helm
Fundamental know-how in DevOps CI/CD tools such as Flux
Fundamental know-how in monitoring systems like Grafana
Fundamental know-how in monitoring systems like Promtail
Fundamental know-how in monitoring systems like Prometheus
Strong teamwork skills, especially in interdisciplinary collaboration
Strong 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
Willingness to perform tasks outside of regular working hours
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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