Senior Data Engineer: Architect & Scale Azure Data Platform

Prosigliere; Argentina; Presencial; ARS 3.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

Prosigliere is seeking a Senior Data Engineer to design, build and maintain our data platform and the data-driven systems that power reporting and analytics across the company.

This hands-on role requires collaborating with engineers and analysts, driving data quality, governance and scalable Azure-based pipelines, and owning CI/CD for the data warehouse. With 5+ years in data engineering, you will leverage SQL Server, Azure Data Factory, and Tableau to deliver reliable, business-ready data.

Formación

• 5+ years of professional experience in data engineering or related roles.
• Strong experience with Azure services, especially Data Factory, Azure SQL Managed Instance and Azure Functions.
• Advanced SQL / T-SQL skills.
• Experience with dimensional modeling and building/maintaining a data warehouse.
• Production experience writing Python for automation and CI/CD tooling.
• Experience with Git and collaborative development workflows, including GitHub Actions.
• Familiarity with database DevOps and secure cloud auth (Entra/OIDC) is a strong plus.
• Experience with BI tools — Tableau — is a plus.
• Awareness of legacy ETL/OLAP technologies (SSIS, SSAS) is a plus.

Responsabilidades

• Design, build and maintain scalable and reliable data pipelines and infrastructure.
• Develop and optimize ETL/ELT processes in Azure Data Factory to ingest, transform and load data efficiently.
• Model and maintain the data warehouse on Azure SQL Managed Instance, authoring and optimizing views, stored procedures and functions across the ingestion, transformation and reporting schemas.
• Write production-ready Python and T-SQL to support data workflows, transformations and automation.
• Own the CI/CD for the warehouse: the DacFx (Microsoft.Build.Sql) database project, DACPAC build/deploy, GitHub Actions workflows, and least-privilege OIDC/Entra deploy identities.
• Own the reporting-layer publish automation/CI (Python + GitHub Actions) and the SQL views that feed reporting, partnering with the BI Analyst who drives requirements and validates output.
• Ensure data quality, accuracy and consistency through validation, monitoring and testing practices.
• Collaborate with engineers, analysts and business stakeholders to translate business requirements into scalable technical solutions.
• Participate in code reviews and contribute to technical discussions and improvements.
• Support and share knowledge with other engineers in the team.
• Stay up to date with new technologies and best practices to continuously improve the data platform.

Conocimientos

SQL

Python

Data modeling

Problem solving

Independent work

Communication

CI/CD

Herramientas

Azure Data Factory

Azure SQL Managed Instance

Azure Functions

DacFx/SSDT

GitHub Actions

Tableau

SSIS/SSAS

Descripción del empleo

Prosigliere is seeking a Senior Data Engineer to design, build and maintain our data platform and the data-driven systems that power reporting and analytics across the company.

This hands-on role requires collaborating with engineers and analysts, driving data quality, governance and scalable Azure-based pipelines, and owning CI/CD for the data warehouse. With 5+ years in data engineering, you will leverage SQL Server, Azure Data Factory, and Tableau to deliver reliable, business-ready data.