Data Engineer Con Spark/Scala
Pubblicato il 09-09-2026 - Datacolor Industrial S.r.l. (Reggio) in Italia
Datacolor, a global leader in color management solutions, provides software, instruments and services to improve the precision, performance and efficiency of your color workflow. For over five decades, Datacolor has earned our reputation as a trusted leader by delivering unmatched capabilities that rapidly address the full spectrum of color challenges in textile and apparel, paint and coatings, automotive, plastics, photography and videography, and other industries.
Our global teams provide sales, service and support in over 100 countries throughout Europe, the Americas and Asia.
Datacolor is actively seeking a talented Data Engineer to join our global workforce.
Data Engineers at Datacolor are responsible for the design, implementation, and maintenance of the data infrastructure that powers our products. This position requires a strong engineer and persistent problem solver, who has a desire to: 1) take pride in overall data quality and architecture, 2) solve challenging problems around data movement and scale, 3) learn new skills as the need arises.
The Data Engineer is an experienced professional who collaborates on a team responsible for data transfers, database architecture, and building the foundation for big data initiatives with an eye toward artificial intelligence. The main duties are to design, build, and maintain reliable data pipelines and database systems, support the domain work of the product development teams, and to create and maintain the Microsoft Azure resources that support them, coordinating with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality data products is essential. You report directly to the Software Manager.
Design, build, and maintain efficient, reliable, and scalable data pipelines and ETL/ELT processes
Architect, implement, and maintain relational and non-relational database structures, including Azure SQL Database and