IT DATA ENGINEER

Description.
About the Company A group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy.
Coesia’s companies are leaders in automation solutions for multiple industries, ranging from automated processing and packaging machinery, testing and vision systems, to digital printing technologies, factory flow solutions and high-performance transmissions.
Our customers include leading players in Consumer Goods, Healthcare & Pharma, Tobacco,  Ceramic Tiles, Luxury Goods, Aerospace, Racing & Automotive, Electronics.
Coesia operates in 36 countries with 20 different companies and employs over people as of .
About the Role Coesia is looking for a data technology enthusiast who wants to be part of a transformation project to become fully data-driven, using the full potential of data to make strategic decisions, improve operations and optimise business processes.
The Data Engineer will be an integral part of the BI, Data & Analytics team and will work closely with various business departments to design, develop and maintain scalable and efficient data infrastructures using Microsoft technologies.
The main responsibility will be to ensure that data is collected, processed and made accessible to facilitate analysis, reporting and the adoption of machine learning and AI models.
Key Responsibilities Design, develop and manage end-to-end data pipelines on Microsoft platforms (Azure Data Factory, MS Fabric, Power BI), knowledge of other technologies is a plus.
Define architectures and data models for different analytics use cases (descriptive analytics, streaming analytics, advanced analytics and machine learning, generative AI).
What You Need to Be Successful Degree in Computer Science, Computer Engineering or related fields.
Proven experience of at least 1-2 years as a Data Engineer or in a similar role (possibly gained at consulting companies in the Information Technology field) with a sound knowledge of Microsoft technologies.
Technical expertise on.
Microsoft Azure (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, MS Pureview, MS Fabric).
SQL language for database queries, optimisation and design.
Power BI for data integration and visualisation.
Data warehousing and data modelling.
ETL pipeline and data integration processes.
Knowledge of data governance, data security and compliance concepts.
Experience with programming languages for data management (e.
.
Python, C#, R, Databricks, Spark).
Excellent communication and collaboration skills with multidisciplinary teams.
Extensive knowledge of BI tools and technologies, Azure SQL Server, Azure Synapse Analytics, Good command of the English language.
Nice to have.
Design, develop and deliver data governance models by defining methodologies, processes and implementing frameworks using specialised solutions and tools (Data Quality, Business & Data Glossary, Data Catalogue, Master Data Management, Data Lineage, Privacy & Security).
Work with internal teams to gather business requirements and translate them into scalable technical solutions.
Monitor the performance of data management systems and implement improvements to ensure high availability and security.
Main Responsibilities / Activities.
Key Competences / Leadership Attributes.
Basic Requirements.