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

📌 Senior Data Engineer (Argentina)
🏢 Prosigliere
📍 Argentina