Data Engineer

Exor International; Veneto; Hybrid; EUR 35,000 - 40,000; Full time

Benefits offered by this job

CCNL for Commerce & Tertiary sector

Job summary

Exor International is seeking a data engineer to collect, integrate, and transform data from MES, ERP, quality and production systems. You will build scalable data pipelines to support decision-making and improve operational performance, ensuring data availability, quality and standardisation.

You will design ETL/ELT processes, collaborate with the MES team, develop dashboards in Power BI, and integrate AI tools to enable automation and NLP access to data.

Qualifications

• Design and implement ETL/ELT pipelines from MES, SQL databases and APIs.
• Ensure data quality, traceability and standardisation across pipelines.
• Monitor data loading processes and optimise performance.

Responsibilities

• Design, develop and maintain ETL/ELT pipelines for acquiring and transforming data.
• Collaborate with MES team to define data structures and metrics.
• Ensure data quality and validation across the pipeline.
• Develop dashboards and reports to monitor KPIs.
• Design integrations between data systems and AI tools for automation.

Skills

ETL/ELT pipelines

SQL & relational models

Data integration

Power BI

AI integration

Workflow automation

Problem solving

Stakeholder communication

Education

Bachelors in Computer Science or related

Tools

Apache NiFi

SQL Server

Job description

The successful candidate will be responsible for collecting, integrating, transforming and leveraging data from company systems (MES, ERP, quality and production systems), building reliable and scalable data pipelines to support decision-making and improve operational performance. The primary objective of the role is to ensure data availability, quality and standardisation, while developing automation and integration solutions to support client companies.

Main Responsibilities:

• Design, develop and maintain ETL/ELT pipelines for acquiring and transforming data from MES, SQL databases and company APIs.
• Collaborate with the MES application development team to define metrics, structure data flows and translate operational requirements into robust and reusable data models.
• Ensure data quality, consistency and traceability throughout the entire pipeline by defining controls and validation processes.
• Manage data refresh, orchestration and scheduling processes, ensuring reliability, security and performance.
• Develop supporting reports and dashboards (using Power BI where necessary) to monitor KPIs related to production, quality, efficiency and operational performance.
• Design and develop integrations between company data systems and artificial intelligence tools (e.g., MCP servers, AI agents and LLMs) to enable automation and natural language access to data.
• Monitor data loading processes and data platform services, independently identifying and resolving anomalies.
• Prepare technical and functional documentation and provide training support to end users.

Required Technical Skills

Data Engineering and Integration (Core of the Role)

• Solid experience in developing ETL/ELT processes and designing data pipelines.
• Knowledge of Apache NiFi or equivalent data integration and orchestration tools.
• Excellent knowledge of SQL Server and SQL, with the ability to design and optimise relational data models.
• Experience integrating data from different sources (e.g., REST APIs, CSV, XML).
• Familiarity with monitoring tools for automated process control.

AI and Automation

• Interest or experience in integrating generative AI tools into company data flows (LLMs, AI agents).
• Knowledge of or interest in the MCP (Model Context Protocol) and in developing MCP connectors/servers that expose company data to AI tools.
• Familiarity with automation and scheduling processes (workflow automation).

Business Intelligence and Reporting

• Basic to intermediate knowledge of Power BI.
• Knowledge of DAX and data modelling (star schema, dimensions, facts) is considered an advantage.

Preferred Requirements:

• Experience in manufacturing or industrial environments.
• Good command of English.

Soft Skills:

• Analytical thinking and problem‑solving orientation.
• Ability to communicate and collaborate with technical and business stakeholders.
• Ability to organise work independently.
• Structured approach to documentation and standardisation.
• Curiosity about new technologies, particularly AI.

Education:

Degree in Computer Science, Computer Engineering, Management Engineering, Statistics, Mathematics or related disciplines.

Employment Conditions and Benefits:

• National Collective Bargaining Agreement (CCNL) for the Commerce and Tertiary sector.
• Indicative annual gross salary: €35,000–€40,000 (determined based on objective and gender‑neutral criteria).