GCP Data Platform Engineer — Spark, Airflow & BigQuery

Poland and Central-Eastern Europe; EE. UU.; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Xebia is a global AI-first, digital transformation and engineering partner. We design, build, and operate data platforms on Google Cloud, delivering scalable ETL/ELT pipelines and metadata-driven tooling.

You will work with Dataproc, Spark, Airflow, and BigQuery to optimize performance and cost while advancing Bronze/Silver/Gold data layers for client solutions across Europe and beyond. Join a distributed team focused on engineering excellence, observability, and collaboration with platform,

Formación

• Extensive experience building data platforms on Google Cloud Platform.
• Hands-on with Dataproc and Apache Spark.
• Experience designing ETL/ELT pipelines.
• Proficient in SQL and Python.
• Knowledge of Bronze/Silver/Gold data layers.
• Experience optimizing cloud data workloads for performance and cost.
• Experience designing ingestion frameworks and reusable components.
• Troubleshooting production data pipelines.

Responsabilidades

• Design, develop, and optimize ETL/ELT pipelines on Google Cloud Platform.
• Optimize Spark workloads on Dataproc.
• Implement workload-routing strategies and cost-optimization.
• Design and maintain Bronze/Silver/Gold data layers.
• Organize raw data structures in Google Cloud Storage.
• Develop and optimize Airflow DAGs and orchestration frameworks.
• Implement data reprocessing and backfill capabilities.
• Collaborate with platform, analytics, and DevOps teams on architecture.

Conocimientos

Google Cloud

Dataproc

Spark

ETL/ELT

BigQuery

Python

SQL

Airflow

Data platforms

Herramientas

Dataproc

Apache Airflow

BigQuery

Google Cloud Storage

Descripción del empleo

Xebia is a global AI-first, digital transformation and engineering partner. We design, build, and operate data platforms on Google Cloud, delivering scalable ETL/ELT pipelines and metadata-driven tooling.

You will work with Dataproc, Spark, Airflow, and BigQuery to optimize performance and cost while advancing Bronze/Silver/Gold data layers for client solutions across Europe and beyond. Join a distributed team focused on engineering excellence, observability, and collaboration with platform,