Data Engineer
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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 / FinOps in Azure;
What Do We Offer
The global 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.
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