FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building cloud-native data pipelines and platforms across GCP, Azure, and AWS, with a strong foundation in software engineering and advanced SQL. Proficient in developing robust ETL/ELT pipelines and integrating AI services via API, while maintaining clean and maintainable code.
Highest-signal resume keywords
Cloud-Native Data Pipeline DevelopmentETL/ELT Pipeline BuildingAdvanced SQL and Data ModellingPython for Data EngineeringArchitectural Design and Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud Infrastructure ManagementData IntegrationData ReplicationSystem IntegrationAI Service IntegrationMLOpsAnalytics EngineeringClean Code PracticesVersion Control with GitData Warehousing
Soft Skills
CollaborationAutonomyCommunication
Tools & Technologies
GCPAzureAWSClaude CodeCursorGitHub Copilot
Certifications & Qualifications
Master's Degree in Computer EngineeringMaster's Degree in Computer Science
Industry Keywords
Data EngineeringSoftware EngineeringCloud EngineeringAI-Based ServicesStartups
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Act as technical lead on small and medium projects from solution design to production release
- Work in structured project teams on larger, cross-cutting projects
- Collaborate with senior colleagues and the account managing the client relationship
- Design and build cloud-native data pipelines and platforms on GCP, Azure and AWS
- Build robust ETL/ELT pipelines and efficient data integrations
- Design and manage cloud infrastructure, including networking, IAM, services, monitoring and logging
- Develop connectors and lightweight backend services in Python
- Work on complex system integrations, data replication and synchronization
- Build productized ETL platforms and AI-based services
- Develop RAG systems, Copilot-style architectures, MCP servers and LLM API integrations
- Explain and defend architectural choices
- Work autonomously across data engineering, cloud engineering and software engineering
Requirements
What you’ll need- At least 3 years of experience as a software engineer or data engineer
- Solid software engineering foundations and ability to design solutions, not only implement them
- Experience with projects followed end-to-end, from design to release
- Advanced SQL and data modelling
- Experience building and running ETL/ELT pipelines
- Good knowledge of data warehouses and transactional databases
- Solid Python for data pipelines, connectors and lightweight backend services
- Git, code review and collaborative development
- Clean, testable and maintainable code
- Use of AI tools such as Claude Code, Cursor, GitHub Copilot or similar
- Master's degree in Computer Engineering, Computer Science or equivalent practical experience
- Fluent Italian and professional working English
- Hands-on experience with at least one cloud provider (GCP, Azure or AWS) — nice to have
- Experience designing and integrating AI services via API, including RAG systems, Copilot-style architectures and MCP servers — nice to have
- MLOps experience — nice to have
- Analytics engineering experience with marketing and advertising platforms — nice to have
- Experience in startups or small tech companies — nice to have
Benefits
Comp & perks- Annual bonus €2,500/year
- Company welfare
- Meal vouchers of €8 per day
- CCNL Metalmeccanico Industria (Italian national collective agreement)
- 13 monthly salaries
- Hybrid model, with around 8 days per month in the Turin office, managed flexibly
- 20% of time dedicated to training and R&D
- Dedicated days for individual training and community of practice sessions
- Real autonomy and responsibility from day one
- Diverse projects for large clients in Italy and abroad, including next-generation AI services
