Data Platform Engineer — Real-Time Analytics on GCP

Technogym S.P.A.; Cesena; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

Technogym S.p.A. is seeking a Data Platform Engineer with 3–5 years of experience to design and implement modern data platforms on Google Cloud Platform (GCP).

You will enable advanced analytics and AI-driven insights across the organization, focusing on near real-time data pipelines and data quality. The role emphasizes robust data modeling, data integration from multiple sources, and collaboration with Data Science and Business stakeholders to meet strategic goals.

Competenze

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 3–5 years of experience in data engineering and data platform development.
• Strong knowledge of Google Cloud Platform components: BigQuery, Dataflow, Pub/Sub, Datastream, Airflow, Cloud Functions, API Gateway, Dataform.
• Proficiency in SQL and Python.
• Experience in data modeling and designing architectures for reporting and analytics.
• Understanding of ETL/ELT processes; SAP Data Services is a plus.

Mansioni

• Design and implement modern data platforms on Google Cloud Platform.
• Build near real-time data pipelines and ensure data quality and reliability.
• Create robust data models and architectures to support analytics and reporting.
• Integrate data from multiple sources ensuring consistency, quality, and security.
• Collaborate with Data Science and Business teams to translate requirements into technical solutions.
• Support governance, monitoring, and observability practices.

Conoscenze

Data engineering

Data platform development

SQL

Python

Data modeling

ETL/ELT

Formazione

Bachelor's degree in CS/Engineering/Math

Strumenti

BigQuery

Dataflow

Pub/Sub

Datastream

Airflow

Cloud Functions

API Gateway

Dataform

Descrizione del lavoro

Technogym S.p.A. is seeking a Data Platform Engineer with 3–5 years of experience to design and implement modern data platforms on Google Cloud Platform (GCP).

You will enable advanced analytics and AI-driven insights across the organization, focusing on near real-time data pipelines and data quality. The role emphasizes robust data modeling, data integration from multiple sources, and collaboration with Data Science and Business stakeholders to meet strategic goals.