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T-Systems Iberia

Data Engineer GCP

T-Systems Iberia · Granada, Andalusia, Spain

  • On site
  • Full-time
  • $95,000 / year
  • Granada, Andalusia, Spain

Job highlights

  • Engineer data models and products using GCP.
  • Build and manage data pipelines and connections.
  • Analyze mobile network data for proactive problem solving.
  • Develop data-driven solutions for customer experience.
  • Work in a hybrid model with flexible scheduling.

About the role

About T-Systems Iberia

At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different points of view, who accept challenges and continuous learning, to grow and impact society… All this, in a fun way!

It doesn't matter when or where you work. It's about doing work that matters to move society forward. For this reason, we will do everything possible to ensure that you have every opportunity to develop by offering you a support network, excellent technology, a new work environment and the freedom to work independently. We support you to constantly grow both personally and professionally, so that you can leave a notable mark on society.

T-Systems is a team of around 28,000 people employed around the world, making us one of the world's leading providers of integrated end-to-end solutions. We develop hybrid cloud and artificial intelligence solutions and drive the digital transformation of companies, industry, the public sector and, ultimately, society as a whole.

Job Description

In the department of 'Customer Experience' we are responsible for maintaining the quality of our cellular mobile network throughout Germany at the highest level and to always be one step ahead of the competition. To reach this target, we are searching for a Data Engineer. You will work closely with mobile service experts. The goal is to make optimal use of existing data to proactively identify problems in our mobile service chains, analyze their causes, and support colleagues. Furthermore, perform data analysis for specific management or project demands, as well as to improve customer experience.

Activity Description And Concrete Tasks

  • Analytics Engineer: development of sustainable and effective data models and data products.
  • Realize and run pipelines and data connections; perform data validation.
  • Build and connect interfaces.
  • Automated provision and pre-processing of various data sets.
  • Developing innovative and data-driven solutions that provide tangible added value for our customers and our internal interfaces in the mobile radio and service context.
  • Integrate solutions in an End-to-End automation platform to solve nation-wide mobile network problems.
  • Ensure the delivery of agreed-upon KPIs.

Qualifications

Skill requirements:

  • Advanced experiences with Google Cloud Platform (GCP) - DBT modelling, AirFlow, DataFlow, DataProc.
  • Enhanced experiences in Data Engineering (ETL, validation, analysis, deductions).
  • Big Data skills in Elastic Search, Python, Hadoop, PySpark, etc.
  • Expert knowledge in building pipelines and automated provisioning and pre-processing of various data sets.
  • Knowledge of IT interfaces (e.g., RestAPI).
  • MicroStrategy MSTR Modelling Experience.
  • Experiences in DevOps tools for automation solutions (Git, CI/CD, Docker, Kubernetes, Virtualization, Cloud environments, etc.).
  • Able to identify and solve problems independently.
  • Structured and independent work style, as well as a high sense of responsibility.
  • Good team player.
  • Good communication skills.

What do we offer you?

  • International, positive, dynamic and motivated work environment.
  • Hybrid work model (teleworking/on-site).
  • Flexible schedule.
  • Continuous training: Preparation for certifications, access to Coursera, weekly English and German classes.
  • Flexible compensation plan: health insurance, meal vouchers, childcare, transport assistance.
  • Life and accident insurance.
  • More than 26 working days of vacation per year.
  • Social fund.
  • Free service for specialists (doctors, physiotherapists, nutritionists, psychologists, lawyers...).
  • 100% of salary in case of sick leave.
  • 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. Join our team!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

Key skills/competency

  • Data Engineer
  • Google Cloud Platform (GCP)
  • ETL
  • Data Modeling
  • Python
  • PySpark
  • Data Analysis
  • DevOps
  • Big Data
  • MicroStrategy

Skills & topics

  • Data Engineer
  • GCP
  • Google Cloud Platform
  • ETL
  • Data Modeling
  • Python
  • PySpark
  • Data Analysis
  • DevOps
  • Big Data
  • Elastic Search
  • Airflow
  • DataFlow
  • DataProc
  • MicroStrategy
  • T-Systems Iberia

How to get hired

  • Tailor your resume: Highlight your GCP, data engineering, Python, and DevOps skills.
  • Showcase project impact: Quantify achievements in data modeling, ETL, and problem-solving.
  • Emphasize collaboration: Detail your experience as a team player and communicator.
  • Prepare for technical questions: Review GCP services, ETL processes, and Big Data technologies.
  • Demonstrate problem-solving: Be ready to discuss how you identify and resolve data issues.

Technical preparation

Master GCP services like DataFlow and DataProc.,Practice building robust ETL pipelines.,Develop Python scripts for data manipulation.,Familiarize with DevOps tools and CI/CD.

Behavioral questions

Describe a complex data problem you solved.,How do you ensure data quality and validation?,Discuss your experience working in a team.,How do you handle tight deadlines and pressure?

Frequently asked questions

What specific Google Cloud Platform (GCP) skills are most important for the Data Engineer role at T-Systems Iberia?
The Data Engineer role at T-Systems Iberia requires advanced experience with GCP, specifically in DBT modeling, AirFlow, DataFlow, and DataProc. Demonstrating expertise in these areas will be crucial for your application.
How important is experience with Big Data technologies like Python and PySpark for this Data Engineer position?
Experience with Big Data technologies such as Python, PySpark, Hadoop, and Elastic Search is highly valued for this Data Engineer role. Your ability to leverage these tools for data engineering tasks, including ETL, validation, and analysis, will be a significant asset.
What kind of data analysis tasks will a Data Engineer perform at T-Systems Iberia?
As a Data Engineer at T-Systems Iberia, you will perform data analysis to proactively identify problems in mobile service chains, analyze root causes, and support colleagues. You'll also conduct analyses for management or project demands to enhance customer experience.
Does T-Systems Iberia offer opportunities for professional development and training for Data Engineers?
Yes, T-Systems Iberia emphasizes continuous training, offering preparation for certifications, access to Coursera, and weekly English and German classes. They aim to support your personal and professional growth.
What is the work environment like for a Data Engineer at T-Systems Iberia?
The work environment at T-Systems Iberia is described as international, positive, dynamic, and motivated. They offer a hybrid work model, flexible schedules, and a supportive network to foster growth and collaboration.
What are the key benefits offered to employees in this Data Engineer role?
Employees at T-Systems Iberia benefit from a flexible compensation plan including health insurance, meal vouchers, and transport assistance, along with life and accident insurance, over 26 vacation days, a social fund, and access to specialist services.
How does T-Systems Iberia approach problem-solving for data engineers?
T-Systems Iberia expects Data Engineers to be able to identify and solve problems independently. A structured, independent work style and a high sense of responsibility are key attributes they look for in candidates.
What DevOps tools and concepts are relevant for this Data Engineer position at T-Systems Iberia?
Experience with DevOps tools such as Git, CI/CD, Docker, Kubernetes, and virtualization is relevant for this Data Engineer role, particularly for developing automation solutions and integrating them into an end-to-end automation platform.
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