GCP Data Engineer: BigQuery, DBT & SQL Pipelines

Telekom; La Coruña; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

Meal vouchers

Coursera training access

International mentoring & experience

Job summary

T-Systems Iberia is seeking a Software/Database Developer to design, build, and maintain cloud-based data solutions on Google Cloud Platform. You will implement scalable data pipelines, optimize SQL code, and model data using dbt.

Collaborate with cross-functional teams to ensure high-quality data products and robust ETL processes. Ideal candidates have strong SQL, BigQuery, dbt and Airflow experience, plus solid Git and CI/CD familiarity.

Qualifications

• 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.

Responsibilities

• Design, develop, and maintain scalable data pipelines and database solutions on GCP.
• Develop efficient SQL code for data transformation and reporting.
• Build and optimize data models using dbt.
• Develop and maintain ETL processes and ensure performance.

Skills

SQL programming

Cloud data pipelines

BigQuery

dbt

Apache Airflow

Git

CI/CD

ETL development

REST APIs

agile development

Tools

Google Cloud Platform

dbt

Apache Airflow

Git

BigQuery

Job description

T-Systems Iberia is seeking a Software/Database Developer to design, build, and maintain cloud-based data solutions on Google Cloud Platform. You will implement scalable data pipelines, optimize SQL code, and model data using dbt.

Collaborate with cross-functional teams to ensure high-quality data products and robust ETL processes. Ideal candidates have strong SQL, BigQuery, dbt and Airflow experience, plus solid Git and CI/CD familiarity.