Data Engineer

Agent Careers; México; Presencial; MXN 721.196 - 1.030.280; Jornada completa

Descripción de la vacante

A leading tech company in Mexico is seeking an experienced Data Engineer to design and maintain data systems using Microsoft SQL Server, Power BI, and ETL development. The ideal candidate has over 5 years of experience, strong skills in C# or Python, and a passion for solving data challenges in a fast-paced environment. This role offers competitive compensation and a chance to make a significant impact in the company.

Formación

• 5+ years of experience with Microsoft SQL Server in production environments.
• Strong skills in C# or Python for data processing and automation.
• Experience integrating data from multiple formats (flat files, JSON, XML, APIs, etc.).
• Solid knowledge of data modeling and relational design.
• Proficiency with Power BI for reporting and analytics.

Responsabilidades

• Design, optimize, and maintain SQL Server databases for performance and reliability.
• Develop ETL pipelines (C# or Python) to integrate data from multiple sources.
• Build and support Power BI dashboards for insights in finance and inventory.
• Manage database administration tasks including indexing, backups, query tuning.
• Collaborate with IT and business teams to streamline workflows.

Conocimientos

Microsoft SQL Server

C#

Python

Power BI

Data modeling

Herramientas

Microsoft Dynamics GP

Azure

Power Automate

Descripción del empleo

Join to apply for the Data Engineer role at Agent Careers

About Us

Our company is a leading provider in the foodservice industry, specializing in the nationwide distribution of gourmet and specialty products. We partner with distributors, restaurants, and businesses to deliver high-quality ingredients and culinary solutions.

Compensation: $3,500-$5,000/month

Type: Full-Time

The Role

We’re looking for a Data Platform Engineer to join our IT team. In this role, you’ll design and maintain data systems that power operations across the enterprise. You’ll be hands‑on with SQL Server, ETL development, and Power BI, while collaborating with cross‑functional teams to ensure reliable, accurate, and accessible data. This is a great opportunity for someone who thrives in a fast‑moving environment, enjoys solving real‑world data challenges, and wants to shape the future of our company’s data infrastructure.

Key Responsibilities

• Design, optimize, and maintain SQL Server databases for performance and reliability.
• Develop ETL pipelines (C# or Python) to integrate data from multiple sources (flat files, JSON, XML, APIs, EDI, databases).
• Build and support Power BI dashboards for insights in finance, inventory, forecasting, and more.
• Manage database administration tasks including indexing, backups, query tuning, and security.
• Collaborate with IT, developers, and business teams to streamline workflows and automation.
• Promote data quality, consistency, and accessibility across systems and departments.
• Act as a technical mentor and data expert within the IT team.
• Support ERP system management (Microsoft Dynamics GP) to ensure accurate data recording.

What We’re Looking For

• 5+ years of experience with Microsoft SQL Server in production environments.
• Strong skills in C# or Python for data processing and automation.
• Experience integrating data from multiple formats (flat files, JSON, XML, APIs, etc.).
• Solid knowledge of data modeling and relational design.
• Proficiency with Power BI for reporting and analytics.
• Familiarity with ERP systems (Microsoft Dynamics GP preferred).
• Strong English communication skills to work effectively with technical and non‑technical teams.

Bonus Points

• Experience with Microsoft 365, Azure, Power Automate, SharePoint, or Teams.
• Exposure to AI/ML or predictive analytics.
• Background in foodservice, logistics, or inventory‑heavy industries.

Why Join Us

• Be part of a growing company modernizing its technology and operations.
• Work hands‑on in a fast‑paced environment where your impact is visible.

Mexico City Metropolitan Area