Senior
Job Description The Software / Database Developer will be part of an agile international team responsible for designing, developing, and maintaining modern cloud-based data solutions on Google Cloud Platform (GCP). The role focuses on building scalable data pipelines, developing SQL-based data models, and supporting data-driven business processes. Working closely with Product Owners, Data Engineers, Data Analysts, and Solution Architects, the developer contributes to the continuous improvement of the company's cloud-based data platform while ensuring high standards for quality and maintainability.Google Cloud Platform (GCP), BigQuery, dbt, Apache Airflow, Git, JIRA, MS Office. Activity description and concrete tasks Working in an international agile team within Deutsche Telekom. Daily collaboration with business experts, architects and software engineers located in Germany and Nearshore locations.
1 Software & Database Development
Design, develop, and maintain scalable data pipelines and database solutions on Google Cloud Platform.
Develop efficient and maintainable SQL code for data transformation and reporting.
Build and optimize data models using dbt (Data Build Tool).
Develop and maintain ETL processes.
Optimize database performance and query execution.
Perform unit testing and support integration testing activities.
Develop cloud-native solutions using Google Cloud Platform services.
Work with BigQuery as the primary data platform.
Monitor data quality.
Support deployment and release activities.
Collaborate closely with Product Owners, Data Engineers, Architects, and Business Analysts.
Participate in Sprint Planning, Refinements, Daily Stand-ups, Reviews, and Retrospectives.
Contribute to technical solution design and architecture discussions.
Review code and ensure compliance with development standards and best practices.
Continuously improve development processes and engineering practices.
Qualifications
Must Have
Strong experience in software development with a focus on database development.
Excellent SQL programming skills.
Hands-on experience with Google Cloud Platform (GCP).
Strong knowledge of BigQuery.
Experience with dbt (Data Build Tool).
Experience with Apache Airflow for workflow orchestration.
Experience using Git for version control.
Experience with CI/CD concepts and DevOps practices.
Knowledge of relational database design and data modeling.
Experience developing ETL pipelines.
Experience with REST APIs and data integration concepts.
Familiarity with Agile software development (Scrum and/or SAFe).
German language skills are an advantage.
Nice to Have
Experience using AI-assisted software development tools (e.g., GitHub Copilot, or similar) to improve development efficiency and code quality.
Experience integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities into data products and data-driven solutions.
Knowledge of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI-powered data engineering concepts is an advantage.
Interest in evaluating and adopting emerging AI technologies to enhance data engineering, analytics, and software development processes.
Telecommunications industry experience.
Soft Skills
Strong analytical and problem-solving skills.
Structured and solution-oriented working style.
Good communication skills.
Strong collaboration skills within international teams.
High level of ownership and accountability.
Continuous learning mindset.
Ability to work independently.
Attention to detail and commitment to high-quality deliverables.
Customer-oriented mindset.
Proactive and hands-on attitude.
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 specialists services (medical, legal, wellness).
100% salary coverage during medical 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! 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.
The Software / Database Developer will be part of an agile international team responsible for designing, developing, and maintaining modern cloud-based data solutions on Google Cloud Platform (GCP). The role focuses on building scalable data pipelines, developing SQL-based data models, and supporting data-driven business processes. Working closely with Product Owners, Data Engineers, Data Analysts, and Solution Architects, the developer contributes to the continuous improvement of the company's cloud-based data platform while ensuring high standards for quality and maintainability. You will be working in an international agile team within Deutsche Telekom with daily collaboration with business experts, architects and software engineers located in Germany and Nearshore locations.
Software & Database Development
Design, develop, and maintain scalable data pipelines and database solutions on Google Cloud Platform
Develop efficient and maintainable SQL code for data transformation and reporting
Build and optimize data models using dbt (Data Build Tool)
Develop and maintain ETL processes
Optimize database performance and query execution
Perform unit testing and support integration testing activities
Cloud Engineering
Develop cloud-native solutions using Google Cloud Platform services
Work with BigQuery as the primary data platform
Monitor data quality
Support deployment and release activities
Agile Team Collaboration
Collaborate closely with Product Owners, Data Engineers, Architects, and Business Analysts
Participate in Sprint Planning, Refinements, Daily Stand-ups, Reviews, and Retrospectives
Contribute to technical solution design and architecture discussions
Review code and ensure compliance with development standards and best practices
Continuously improve development processes and engineering practices
We are seeking a Software / Database Developer with strong expertise in cloud-based data solutions, SQL development, and modern data engineering tools on Google Cloud Platform, combined with excellent collaboration skills and experience in agile methodologies.
Strong experience in software development with a focus on database development
Excellent SQL programming skills
Hands-on experience with Google Cloud Platform (GCP)
Strong knowledge of BigQuery
Experience with dbt (Data Build Tool)
Experience with Apache Airflow for workflow orchestration
Experience using Git for version control
Experience with CI/CD concepts and DevOps practices
Knowledge of relational database design and data modeling
Experience developing ETL pipelines
Experience with REST APIs and data integration concepts
Familiarity with Agile software development (Scrum and/or SAFe)
Strong analytical and problem-solving skills
Structured and solution-oriented working style
Good communication skills
Strong collaboration skills within international teams
High level of ownership and accountability
Continuous learning mindset
Ability to work independently
Attention to detail and commitment to high-quality deliverables
Customer-oriented mindset
Proactive and hands-on attitude
German language skills
Experience using AI-assisted software development tools (e.g., GitHub Copilot, or similar) to improve development efficiency and code quality
Experience integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities into data products and data-driven solutions
Knowledge of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI-powered data engineering concepts
Interest in evaluating and adopting emerging AI technologies to enhance data engineering, analytics, and software development processes
Telecommunications industry experience
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