Data Engineer
Pubblicato il 16-08-2026 - Jobgether in Italia
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer - Senior based in Italy.
This is a remote opportunity for an experienced data engineer to play a key role in a large-scale digital transformation initiative. You will design, develop, and maintain scalable data solutions that support reliable, analytics-ready information across the organization. Working closely with business stakeholders, product owners, architects, and technical teams, you will help turn diverse data sources into trusted and usable datasets. The role has a strong focus on the Microsoft Azure data ecosystem and modern cloud-based data architectures. You will work extensively with Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage Gen2, Python, SQL, and Delta Lake. This is an environment where strong engineering practices, problem-solving, and data quality directly contribute to business and technology outcomes.
Accountabilities
- Design, develop, and maintain scalable,
reliable data solutions supporting a large-scale digital transformation program.
- Build and optimize robust ETL/ELT pipelines that integrate data from diverse sources into trusted, analytics-ready datasets.
- Develop cloud-based data solutions using the Microsoft Azure ecosystem, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL, and related services.
- Use Python and SQL to develop data transformations, processing workflows, integrations, and analytical data solutions.
- Design and manage data models and architectures that support scalability, reliability, performance, and data quality.
- Work extensively with Azure Databricks and Delta Lake to build and optimize modern data processing and storage solutions.
- Collaborate with business stakeholders, product owners, data architects, and technical teams to understand requirements and translate them into effectiv