Data Engineer - Data Platforms - Azure

IBM; Napoli; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading technology firm is seeking a Mid-Senior Data Engineer in Naples to design and build scalable data integration solutions using Azure Data Factory and SQL. Responsibilities include developing ETL pipelines, maintaining Power BI dashboards, and collaborating with business stakeholders. Ideal candidates will have at least 3 years of relevant experience and a Bachelor's degree. This full-time role offers an opportunity to work in a dynamic environment focused on advanced analytics and cloud-native solutions.

Competenze

• Minimum 3 years of experience in data engineering or integration.
• Strong proficiency with Azure Data Factory.
• Advanced SQL skills including performance tuning.

Mansioni

• Design and build scalable ETL/ELT pipelines using Azure Data Factory.
• Implement data integration solutions in Azure environments.
• Develop and maintain Power BI dashboards for insights.

Conoscenze

Azure Data Factory

SQL

ETL processes

Power BI

Data integration

Analytical skills

Formazione

Bachelor's Degree

Strumenti

SSIS

Azure SQL Database

Azure Synapse Analytics

Descrizione del lavoro

Introduction

In this role, you will join high‑performing delivery teams focused on building modern, scalable, and secure data platforms on Microsoft Azure. You will help organizations transform their data landscape, enabling advanced analytics, business intelligence, and cloud‑native data engineering practices. You will work with experts across industries to design efficient data integration solutions, support cloud migrations, and implement best practices for data quality, governance, and performance optimization. Leveraging Azure’s ecosystem, together with leading BI and orchestration tools, you will contribute to the creation of actionable insights from raw enterprise data. A strong curiosity for cloud technologies, engineering excellence, and continuous learning will be essential as you explore modern architectures, strengthen data engineering capabilities, and deliver impactful end‑to‑end solutions for clients.

Your Role and Responsibilities

• Design and build scalable ETL/ELT pipelines using Azure Data Factory and SQL Server Integration Services (SSIS).
• Develop and optimize workflows for extracting, transforming, and loading data from diverse on‑premises and cloud sources.
• Implement data integration solutions that ensure performance, reliability, and cost‑efficiency across Azure environments.
• Design and develop SQL Server databases, including schema design, stored procedures, functions, and complex queries.
• Conduct data quality checks, validation rules, and troubleshoot ingestion issues and pipeline failures.
• Deploy data solutions leveraging Azure services such as Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.
• Develop and maintain Power BI dashboards, semantic models, and analytics layers for business insights.
• Implement data security, access control, and compliance practices within Azure environments.
• Document data architectures, pipelines, and operational procedures to ensure long‑term maintainability.
• Collaborate with analysts, developers, and business stakeholders to support reporting, analytics, and integration needs.

Preferred Education

Bachelor's Degree

Required Technical and Professional Expertise

• Minimum 3 years of experience in data engineering, data integration, or database development.
• Strong proficiency with Azure Data Factory for building and orchestrating data pipelines.
• Solid experience developing and maintaining SSIS packages for ETL processes.
• Advanced SQL skills, including stored procedures, functions, performance tuning, indexing, and partitioning.
• Experience designing and developing SQL Server or Azure SQL Database solutions.
• Hands‑on experience with Power BI for dashboards, data models, and report development.
• Working knowledge of Azure cloud services, including Azure Data Lake, Azure SQL, Synapse, and cloud security fundamentals.
• Understanding of data warehousing, dimensional modeling, and ETL best practices.
• Familiarity with structured and semi‑structured data formats (JSON, XML, CSV, Parquet).
• Strong analytical skills, attention to detail, and commitment to delivering high‑quality data solutions.
• Ability to work independently, manage priorities, and communicate effectively with both technical and non‑technical stakeholders.

Preferred Technical and Professional Experience

• Microsoft certifications such as Azure Data Engineer Associate or Azure Fundamentals.
• Experience with Azure Synapse Analytics, Azure Databricks, or large‑scale data lake architectures.
• Knowledge of Python or PowerShell for automation and data processing scripts.
• Familiarity with version control tools such as Git or Azure DevOps.
• Experience with Agile/Scrum environments.
• Understanding of data governance, data security frameworks, and compliance requirements.
• Exposure to real‑time or streaming solutions on Azure.
• Knowledge of DAX for advanced Power BI modeling and calculations.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

Location

Naples, Campania, Italy