We work on enterprise data platforms and scalable pipelines on Google Cloud. We build reliable systems for ingesting, transforming, and analyzing large volumes of data.
Your role:
- Design and develop batch and streaming data processing pipelines using Apache Beam and Apache Spark on Google Cloud Dataproc .
- Model, optimize, and query large datasets in BigQuery , with a focus on cost and performance.
- Work with BigQuery Studio to explore data, develop analytical notebooks, and collaborate with data science and analytics teams.
- Monitor data quality and implement tests and alerts on production pipelines.
- Work with the Data Science team to ensure that data is accessible, reliable, and well-documented.
- Help define the team's data engineering standards: naming conventions, data catalog, and data lineage.

Your profile:
- BigQuery — Advanced SQL, Optimization — Intermediate/Advanced Level




- Python — Pipelines and Scripting — Intermediate Level
- Advanced SQL — Window Functions, CTE, Optimization — Intermediate Level
- Git/CI-CD — Collaborative Workflow — Intermediate Level

Nice to have:
- Experience with Google Cloud Dataflow (fully managed Beam pipelines).
- Knowledge of pipeline orchestrators: Apache Airflow / Cloud Composer .
- Introduction to data modeling : star schema, snowflake schema, Data Vault.
- Google Cloud Professional Data Engineer certification (or currently pursuing it).

What we offer:
- Permanent contract (National Collective Bargaining Agreement for the Retail Sector).
- Company canteen
- Structured professional development plan .
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📌 Data Engineer (Italia)
🏢 Bcame
📍 Italia