Data Engineer (m/f/d)

Job Description Project 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 withGCP. Familiarity with Terraform for infrastructure management. Python for application implementation. Familiarity with GitLab CI/CD for automation. Familiarity withnetwork 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 Whatdoweofferyou? Workenvironment&flexibility International,dynamicandcollaborativeenvironment. T-Social: socialinitiatives(sports,community,health, ...). Hybridworkmodel(remote/on-site). Flexibleworkinghours. Growth&development Customizedtraining:accesstoCourseratolearnwhateveryouwant,wheneveryouwant. Weeklylanguageclasses(English & German). InternationalMentoringSessions&ExperienceDays. Compensation&benefits Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport). Telemedicine. Lifeandaccidentinsurance. Socialfund. Wellbeing& time off 26+workingdaysofvacationperyear. Freeaccesstospecialistservices(medical, legal,wellness). 100%salarycoverageduringmedicalleave. And many more advantages of 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.

Your Task

We are looking for a 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, and Operations of the data products on ODE.

Responsibilities

• 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.

Your Profile

We are seeking a skilled Junior Data Engineer with strong technical expertise in Google Cloud Platform, infrastructure management, data processing tools, and CI/CD automation to join our DBIZ team.

Must Have Skills

• Familiarity with Google Cloud Platform (GCP)

• Familiarity with Terraform for infrastructure management

• Python programming for application implementation

• Familiarity with GitLab CI/CD for automation

• Familiarity with network architectures

• Familiarity with security implementations

• Familiarity with management of core GCP services

• Knowledge in employing data processing tools like Hive and PySpark

• Knowledge in data orchestration tools like Airflow

• Familiarity with managing and integrating diverse data sources

Nice to Have Skills

• Certified GCP Cloud Architect

• Certified GCP Data Engineer