Data Engineer – Microsoft Fabric

AGIC; Turbigo; Hybrid; EUR 28,000 - 38,000; Full time

Benefits offered by this job

Ambiente informale e dinamico

Eventi aziendali

Formazione e certificazioni Microsoft

Job summary

AGIC cerca un Data Engineer Junior per contribuire a progetti di Data Analytics e Business Intelligence. La figura lavorerà su Microsoft Fabric sviluppando soluzioni per clienti nazionali e internazionali e avrà la possibilità di imparare e ottenere certificazioni Microsoft.

Un atteggiamento proattivo, buone conoscenze di SQL e un background in ingegneria o informatica sono fondamentali, insieme a capacità di problem-solving e lavoro di squadra. Offriamo un ambiente dinamico e flessibilità lavorativa.

Qualifications

• Circa 2 anni di esperienza in Data Engineering o Business Intelligence.
• Esperienza con SQL e concetti di Data Warehousing.
• Motivazione a imparare Microsoft Fabric e il suo ecosistema.

Responsibilities

• Sviluppare soluzioni di Data & Analytics su Microsoft Fabric.
• Creare pipeline di ingestione e trasformazione dei dati.
• Collaborare con team multidisciplinari per l'analisi e lo sviluppo delle soluzioni.

Skills

Conoscenza SQL

Capacità di problem solving

Team player

Comunicazione efficace

Familiarità con DevOps e version control

Education

Laurea in ingegneria, informatica o discipline scientifiche

Tools

Microsoft Fabric

Data Factory

Power BI

Azure Data Platform

Python

Job description

Position

Data Engineer Junior – Microsoft Fabric, Milano.

Team and Scope

The resource will be part of the Data Platform & Analytics team, a multidisciplinary team that supports clients in designing, managing, and implementing Data Analytics and Business Intelligence solutions on the Microsoft platform, with particular focus on Microsoft Fabric.

Key Responsibilities

• Develop Data & Analytics solutions on Microsoft Fabric for national and international clients at medium/large scale.
• Create data ingestion and transformation pipelines using Data Factory, Dataflow Gen2, and Notebook Spark (PySpark).
• Work on Lakehouse and Warehouse architecture on Microsoft Fabric, applying Medallion Architecture (bronze, silver, gold).
• Develop semantic models and datasets to support Power BI reporting.
• Collaborate with Senior Data Engineers, Analysts, and Project Managers in analysis, design, development, testing, and release of solutions.
• Learn and apply best practices in data governance, security, and data quality.
• Grow through a structured path of training and certification on the Microsoft Data Platform ecosystem.

Ideal Candidate Profile

• Approximately 2 years of experience in Data Engineering, Data Integration and/or Business Intelligence.
• Strong knowledge of the SQL language.
• Understanding of Data Warehousing concepts, data modeling, and ETL/ELT.
• Interest or experience in the Microsoft Data Platform ecosystem (Microsoft Fabric, Azure Data Factory, Synapse, Power BI, SQL Server).
• Team player, excellent communication skills, and strong problem‑solving attitude.
• Degree (bachelor or master) in engineering, computer science, mathematics or other scientific disciplines.
• Good written and spoken English.
• Familiarity with Python, Spark or notebook analytics is a plus.
• Knowledge of Power BI is a plus.

Core Requirements

• Strong SQL skills and knowledge of relational database concepts.
• Comprehensive understanding of Data Warehousing and Business Intelligence concepts.
• Motivation to learn and specialize in Microsoft Fabric.
• Experience, also academic, with Microsoft Fabric, Power BI or Azure Data Platform.
• Basic knowledge of Python, PySpark or scripting languages for data transformation.
• Familiarity with DevOps tools and version control (Azure DevOps, Git, GitHub).
• Basic knowledge of M language, DAX and data modeling techniques for Power BI.
• Introductory Microsoft certifications (e.g., DP‑900, PL‑300, DP‑600, DP‑700).

Benefits and Working Conditions

• Dynamic and informal environment.
• Numerous company events and opportunities for fun beyond professional commitments.
• Ability to work remotely and flexible working hours from the first year.
• Focused on results and care for people.
• Structured onboarding, mentoring and support for junior roles.
• Support for training and obtaining Microsoft certifications in Data & Analytics.
• Performance Management system ensuring continuous growth under HR guidance.

Employment Information

Tipologia di inserimento: tempo Indeterminato/PIVA. RAL commisurata all’esperienza pregressa.

Sede di Lavoro: Milano - Via Franco Russoli, 6

EEO Statement

La ricerca è rivolta ai candidati ambosessi (L.903/77).