Data Engineer (m/f/d)

T-Systems International; Madrid; Hybrid; EUR 32,000 - 52,000; Full time

Benefits offered by this job

Hybrid work model

Coursera training access

Weekly language classes (English &

German

Job summary

T-Systems International seeks a Junior Data Engineer in Madrid to join the DBIZ team. You will deploy and manage GCP infrastructure, develop data products, and operate data pipelines across DEV/TEST/PROD. Emphasis on Python, Hive/PySpark, Airflow, and Vertex AI for ML tasks.

You will collaborate in an international, dynamic environment with flexible hours, hybrid onsite/remote work, and Coursera training opportunities to grow technical and language skills.

Qualifications

• Familiarity with GCP.
• Familiarity with Terraform for infrastructure management.
• Python for application implementation.
• Familiarity with GitLab CI/CD for automation.
• Familiarity with network architectures, security implementations, and core GCP services.
• Knowledge in Hive, PySpark, and Airflow.
• Certifications in GCP Cloud Architect and/or Data Engineer are beneficial.

Responsibilities

• Deploy and manage GCP infrastructure and network architectures.
• Process data using Hive and PySpark; orchestrate with Airflow.
• Develop Python applications for GCP services.
• Manage CI/CD pipelines with GitLab Magenta for deployments.
• Implement security policies, IAM, Secrets management and policy enforcement.
• Integrate data from CDI, FTP servers, TARDIS APIs and GCS.
• Deploy workloads across DEV, TEST, PROD environments.
• Leverage Vertex AI for ML projects.

Skills

GCP familiarity

Terraform

Python

GitLab CI/CD

Security & IAM

Data processing (Hive, PySpark)

Airflow

GKE / Cloud Run / BigQuery

CI/CD pipelines

Education

GCP Certification (Architect / Data Engineer)

Tools

Terraform

GitLab CI/CD

GKE

BigQuery

Airflow

Job description

Company 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.

Job Description

We are looking for skilled Junior Data Engineer to join our team in DBIZ. The Technik Value Stream teams are responsible for Data Ingest on ODE, development of the relevant data products on ODE, Operations of the data products on ODE

Activity description and concrete tasks:

• Infrastructure Deployment & Management: Efficiently deploy and manage infrastructure on Google Cloud Platform (GCP) including network architectures (Shared VPC, Hub-and-Spoke), security implementations (IAM, Secret Manager, firewalls, Identity-Aware Proxy), DNS configuration, VPN, and Load Balancing.
• Data Processing & Transformation: Utilize Hadoop cluster with Hive for querying data, and PySpark for data transformations. Implement job orchestration using Airflow.
• Core GCP Services Management: Work extensively with services like Google Kubernetes Engine (GKE), Cloud Run, BigQuery, Compute Engine, and Composer, all managed through Terraform.
• Application Implementation: Develop and implement Python applications for various GCP services.
• CI/CD Pipelines: Integrate and manage GitLab Magenta CI/CD pipelines for automating cloud deployment, testing, and configuration of diverse data pipelines.
• Security & Compliance: Implement comprehensive security measures, manage IAM policies, secrets using Secret Manager, and enforce identity-aware policies.
• Data Integration: Handle integration of data sources from CDI, Datendrehscheibe (FTP servers), TARDIS API's and Google Cloud Storage (GCS).
• Multi-environment Deployment: Create and deploy workloads across Development (DEV), Testing (TEST), and Production (PROD) environments.
• AI Solutions: Implement AI solutions using Google's Vertex AI for building and deploying machine learning models.
• Certification Desired: Must be a certified GCP Cloud Architect or Data Engineer.

Qualifications

Skills Required

• Familiarity with GCP.
• Familiarity with Terraform for infrastructure management.
• Python for application implementation.
• Familiarity with GitLab CI/CD for automation.
• Familiarity with network architectures, security implementations, and management of core GCP services.
• Knowledge in employing data processing tools like Hive, PySpark, and data orchestration tools like Airflow.
• Familiarity with managing and integrating diverse data sources.
• Certified GCP Cloud Architect and Data Engineer would be beneficial.

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 of being part of T-Systems!