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

SmartRecruiters, Inc.; Granada, Madrid; Presencial; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Coursera training

Weekly language classes (EN/DE)

Life and accident insurance

26+ vacation days

Social fund

Descripción de la vacante

T-Systems, part of Deutsche Telekom, is looking for a Data Engineer to own end-to-end data pipelines and support real-time processing on a Kubernetes platform. You will work with Data Scientists, DevOps, and internal teams to implement, monitor, and optimize data workflows.

We value cloud/container familiarity, DevOps practices, and strong communication. English is required; basic German helps. Competitive benefits include extensive time off, training opportunities, and wellbeing programs.

Formación

• Know-how in Java and Python.
• Experience with Kafka and Flink.
• Experience in optimizing data processing workflows.
• Ability to analyze complex data structures and develop efficient solutions.
• Familiarity with cloud and container technologies (Kubernetes).
• Experience with CI/CD tools (GitLab, Artifactory, Helm, Flux) and monitoring (Grafana, Promtail, Prometheus).
• Strong teamwork and communication skills.
• Problem-solving mindset and ability to work independently.
• Good English, basic German helpful.

Responsabilidades

• Lifecycle management of 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 environments.
• System monitoring and maintenance to guarantee 24/7 availability.
• Rollout management per ITIL/corporate processes.
• Collaborate with DataScientists and Customers.
• Willingness to perform tasks outside regular working hours.

Conocimientos

Java

Python

Kafka

Flink

Kubernetes

CI/CD

Monitoring

Teamwork

English

Herramientas

GitLab

Artifactory

Helm

Flux

Grafana

Prometheus

Descripción del empleo

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 a 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.

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

What do we offer you?

Work environment & flexibility

• International, dynamic and collaborative environment
• T-Social: social initiatives (sports, community, health, ...)
• Customized training: access to Coursera to learn whatever you want, whenever you want
• Weekly language classes (English & German)
• International Mentoring Sessions & Experience Days
• 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!