Freelance Data Engineer

Startup Bakery srl; Torino; On-site; EUR 40,000 - 55,000; Full time

Job summary

A tech-focused startup in Turin is seeking an experienced Data Engineer to lead innovative projects. The ideal candidate will design data architecture using cloud platforms and develop reliable data pipelines from various sources. Collaboration with Data Scientists and ensuring data quality are key aspects of this role. This position offers an exciting opportunity to contribute to meaningful data solutions in a dynamic environment.

Qualifications

• Experience with designing end-to-end data architectures.
• Hands-on experience in developing data pipelines.
• Strong knowledge of cloud technologies (AWS, GCP, Azure).

Responsibilities

• Design and oversee end-to-end data architecture on cloud platforms.
• Develop scalable data pipelines from IoT devices.
• Collaborate with Data Scientists for production-ready models.

Skills

Data architecture design

Cloud platforms (AWS, GCP, Azure)

Data pipeline development

Data quality assurance

Collaboration with Data Scientists

Job description

We are looking for an experienced Data Engineer with strong technical leadership skills and hands-on experience in data infrastructure projects to collaborate on an innovative project developed by Startup Bakery.

Key responsibilities

• Design and oversee end-to-end data architecture (ingestion, transformation, storage, consumption) on cloud platforms (e.g. AWS, GCP, Azure).
• Coordinate and develop scalable and reliable data pipelines collecting data from IoT devices and other sources.
• Collaborate closely with Data Scientists and Machine Learning Engineers to ensure predictive models and analytics are efficient, production-ready, and reproducible.
• Ensure data quality, governance, and security, including the definition of standards and best practices.
• Contribute to the design of dashboards and reporting systems to provide actionable insights for agronomists and internal teams.
• Monitor data system performance, handle troubleshooting, and drive continuous optimization.