T-Systems Iberia
Information Technology And Services
DataEngineerPFSAdmin&Tool(m/f/d)
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer PFS Admin & Tool (m/f/d) at T-Systems Iberia. Skills: Data Engineering, real-time data processing pipeline lifecycle management, Data Pipelines (ETL) development and optimization, Kubernetes based environments implementation and operation, DevOps CI/CD tools, monitoring systems. entire lifecycle management of a real-time data processing pipeline. Development and Optimization of Data Pipelines (ETL)”
Industry & Context.
Ability to analyze complex data structures and develop efficient solutions; Problem-solving mindset
Willingness to perform tasks outside of regular working hours, Being on-call for approx. 6 weeks per year, rarely performing changes outside of regular working hours
What They're Looking For.
Must Have
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, teamwork and communication skills, especially in interdisciplinary collaboration, Problem-solving mindset and ability to work independently, Good English skills, both written and spoken
Nice to Have
Experience in classic and agile forms of cooperation, basic German skills would be advantageous
What You'll Do.
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)
How You'll Work.
Team & Collaboration
working in a team with DataScientists and DevOps Engineers; working closely with other internal teams, internal customers and external suppliers; Collaborate closely with DataScientists and Customers; interdisciplinary collaboration
Communication Scope
teamwork and communication skills, especially in interdisciplinary collaboration; Good English skills, both written and spoken
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. 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. ## Qualifications 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 * Abilit
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