- Role: Data Engineer (Remote)
- Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking a Data Engineer to work on a full-time basis. The role involves designing, building, and maintaining scalable data pipelines that support real-time and batch processing systems. You will collaborate with cross-functional teams to ensure data integrity and accessibility across the organization.

Key Responsibilities:

• Design and implement ETL/ELT pipelines to ingest, transform, and load data from multiple sources into data warehouses and lakes.

• Develop and optimize data models to support analytics and reporting needs.

• Collaborate with data scientists and analysts to ensure data quality and availability for downstream applications.

• Monitor pipeline performance and troubleshoot issues to maintain system reliability.

• Implement and enforce data governance, security, and compliance standards.

Required Skills & Qualifications:

• Proficiency in Python, SQL, and experience with data pipeline tools like Apache Airflow or similar.





• Experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., BigQuery, Redshift, S3).

• Strong understanding of data warehousing concepts and dimensional modeling.

• Familiarity with big data technologies (e.g., Spark, Hadoop) and streaming platforms (e.g., Kafka).

• Knowledge of data governance, metadata management, and data quality frameworks.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable data infrastructure that powers enterprise-wide analytics. The position supports high-impact projects with a focus on innovation and efficiency.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed

📌 Data Engineer (Torino)
🏢 Hire Feed
📍 Torino