Company Background Our client is a company that delivers integrated software and tools for the agricultural business. As part of a leading global software group, the company supports the diversified grain industry and agricultural co-ops with best-in-class solutions covering business management, commodity management, agronomy, trading, patronage, and analytics.

Project Description The project focuses on owning the end-to-end data flow for the client's Data Analytics Platform (DAP). The platform ingests structured data (XML/JSON) into Azure Data Lake, orchestrates transformations using Azure Data Factory, and models curated data in Azure SQL Managed Instance with read-only replicas for reporting.

Technologies

Microsoft Azure

ADLS Gen2

Azure Data Factory (ADF v2)

Azure SQL Managed Instance

What You'll Do

Build and maintain ADF pipelines to ingest XML/JSON data into ADLS Gen2, including schema mapping, cleansing, and incremental loads;
Design and optimize data models in Azure SQL Managed Instance (indexes, partitioning, read-only replicas);
Configure and test backup, geo-replication, and disaster recovery strategies (RPO/RTO);
Automate infrastructure and deployments using Infrastructure-as-Code and CI/CD pipelines;
Provision and support datasets for self-service BI and reporting;
Implement monitoring, alerting, and cost-optimization dashboards;
Continuously tune platform performance, reliability, and cost efficiency;

Job Requirements

5+ years of experience designing and building data solutions on Microsoft Azure;




2+ years of hands-on experience with ADLS Gen2 and Azure Data Factory (ADF v2);
Expert-level T-SQL skills and performance tuning on Azure SQL Managed Instance or SQL Server;
Hands-on experience with Infrastructure-as-Code (Bicep or Terraform) and CI/CD;
Proven experience with backup, geo-replication, and disaster recovery in Azure;
Familiarity with BI ecosystems (Power BI, Luzmo, Tableau) and provisioning datasets for self‐service reporting;

Strong understanding of Azure security fundamentals (networking, managed identities, RBAC);

Proven experience designing and optimizing data flows using Azure Synapse Analytics, including dedicated SQL pools and serverless querying;

English level: B1+ (Intermediate) or higher;

Nice to Have

Microsoft Certified: Azure Data Engineer Associate (DP‐203) or higher;

Exposure to Synapse Analytics or Databricks;
Knowledge of .NET 6+/C# or Python for custom ADF activities or utility scripts;

Experience with cost‐governance / Fin Ops in Azure;

What Do We Offer The integral benefits package includes:

Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
English courses;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;

Work anniversary program and additional vacation days.

📌 Data Engineer (Agribusiness Software Solutions) (Ciudad de México)
🏢 Coherent Solutions
📍 Ciudad de México