Data Engineer – Cloud & Analytics
At a glance
Mid-level Data Engineering role at Hczf. Reggio Emilia · no salary stated · we estimate €32,000–€38,500 across Italy.
Hczf has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Design the end-to-end data setup in Google BigQuery and keep it running
- Build out the company data lake, maintaining data quality as it scales
- Write and automate complex data pipelines using Python and SQL
- Coordinate with Salesforce and marketing teams so data reaches them in the right format
What you bring
- You have three to five years in data engineering and can work confidently with Python, SQL and cloud environments
- You have used Google BigQuery or built comparable data lake architectures
- You can create durable, scalable pipelines rather than only using prepared datasets
Who this fits
This mid-level role suits a data engineer who has built pipelines and data lake infrastructure, not just consumed existing data. The hybrid arrangement is based in Reggio Emilia or Milan, with ten remote-work days per month.
From the employer
Credem, tra i gruppi bancari più solidi d'Italia, cerca un Data Engineer per costruire ed evolvere l'infrastruttura dati cloud che alimenta i sistemi commerciali del Gruppo, in piena transizione da architetture legacy verso un data lake moderno su Google BigQuery.
Ti occuperai di:
Progettare e gestire l'architettura dati end-to-end su Google BigQuery.
Costruire e far evolvere il data lake aziendale, garantendo qualità e scalabilità del dato.
Sviluppare e automatizzare pipeline dati complesse in Python e SQL.
Collaborare con i team Salesforce e marketing per garantire che i dati arrivino dove servono, nel formato giusto.
Sei la persona giusta se:
Hai 3-5 anni di esperienza come Data Engineer con padronanza di Python, SQL e ambienti cloud.
Hai lavorato su Google BigQuery o architetture data lake comparabili.
Sai costruire pipeline robuste e scalabili, non solo consumare dati già pronti.
Competenze:
Data Engineering
Python
Data Lake
Google BigQuery
Cloud Architecture
Salesforce Data Cloud
Data Pipeline
ETL
SQL
GCP
Nota:
Salesforce data Cloud è un plus.
Dettagli
Sede: Reggio Emilia o Milano (ibrido), 10 gg smart/mese.
Retribuzione e benefit: 45k-55k + MBO + Welfare + Assicurazione Sanitaria + Fondo Pensione + Ticket 8€
Selezione: colloquio tecnico + assessment e colloquio HR
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