About the role
Tuidi is hiring a Data Engineer to develop cloud data ingestion and preparation processes supporting its machine learning products for food retail. The role translates complex customer data and business requirements into reliable pipelines, helping applications and business processes use consistent, useful information. It combines engineering with collaboration across development, AI and machine learning, and sales teams.
Responsibilities include developing, monitoring, and optimizing data flows, reverse engineering existing solutions, gathering requirements from customers, and coordinating activities or small projects. Applicants need at least three years of relevant experience, strong Python for ETL and SQL, and familiarity with PySpark or other Spark APIs. Azure Data Factory, Databricks, CI/CD, and software design are advantageous. The company offers hybrid or fully remote work by agreement; working from Italy is confirmed for this opening.
Highlights
- Build cloud ingestion and preparation pipelines.
- Collaborate with customers and technical teams.
- Hybrid or full remote, agreed with the company.
- Advertised annual gross salary: €40,000-€48,000.
This recap is dataskew's editorial summary, not the company's copy.