Senior Data Engineer

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

We are looking for a highly skilled Senior Data Engineer to join our team. In this role, you will play a key part in designing, building and maintaining our data platform and the data-driven systems that power reporting and analytics across the company.

This is a hands‑on role where you will contribute to technical decisions, collaborate closely with the team and help improve our data ecosystem. You will work across data engineering and analytics‑enablement use cases, helping transform raw operational data into clean, reliable, business‑ready data that decision‑makers can trust.

Responsibilities

• 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 (incremental/delta loads using SQL Server temporal tables, plus full bulk-refresh patterns).
• 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 T‑SQL and Python 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.
• 5+ years of professional experience in data engineering or related roles. We are flexible for candidates with strong recent experience in cloud data pipelines and SQL Server data warehousing.
• Strong experience with Azure services, especially Data Factory (ADF), Azure SQL Managed Instance and Azure Functions.
• Advanced SQL / T‑SQL skills (query authoring, stored procedures, performance tuning).
• 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 (DacFx/SSDT projects, DACPAC deployments) and secure cloud auth (Entra/OIDC) is a strong plus.
• Experience with BI tools — especially Tableau (Cloud/Desktop/Prep) — is a plus.
• Awareness of legacy ETL/OLAP technologies (SSIS, SSAS) is a plus, as some legacy components are still being migrated.

Profile Requirements

• Strong problem‑solving and technical skills.
• Ability to work independently while collaborating effectively with a team.
• Comfortable working on complex problems with a hands‑on approach.
• Good communication skills and ability to work cross‑functionally.
• Proactive and adaptable in evolving environments.