Posted 11 days ago
Data Engineer PFS Admin & Tool (m/f/d)
AI Summary
Manages the full lifecycle of a real-time data processing pipeline on Kubernetes, developing and optimizing ETL workflows, integrating data sources, and ensuring 24/7 system availability.
About this role
Data Engineer PFS Admin & Tool (m/f/d)
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
- 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
Additional Information
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.
Skills
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