14 set - Friuli-Venezia Giulia
Technogym
OverviewAs a Data Platform Engineer at Technogym, you design and implement modern data platforms on Google Cloud to enable advanced analytics and AI-driven insights across the organization.
You will build near real-time data pipelines and robust data models that support reporting and decision-making.
You collaborate with data scientists and business partners to translate needs into scalable, secure data solutions.
Your work helps improve data quality, reliability, and cost efficiency at scale.
This role offers the chance to shape a data foundation used across a global, health-focused tech ecosystem.
ResponsabilitàDesign and develop data pipelines for batch and near real-time processing
Implement robust data models and architectures to support analytics and reporting
Integrate data from multiple sources ensuring consistency, quality, and security
Optimize performance, reliability, and cost-efficiency of data workflows
Collaborate with cross-functional teams including Data Science and Business stakeholders
Support data governance, monitoring, and observability practices
Requisiti fondamentaliBachelor in Computer Science
3–5 years of experience in data engineering and data platform development
Strong knowledge of GCP components: BigQuery, Dataflow, Pub/Sub, Datastream, Airflow, Cloud Functions, API Gateway, Dataform
Proficiency in SQL and Python
Experience in data modeling and architectures for reporting and analytics
Understanding of ETL/ELT processes; SAP Data Services is a plus
Google Cloud certifications are a plus
Strong problem-solving, proactivity, and teamwork
Goal-oriented mindset and attention to quality
Fluent English
Strong problem-solving skills
Proactivity
Team player
BigQuery
Dataflow
Pub/Sub
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