Sucafina
Food & Beverage
DataEngineer(Fabric)
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer (Fabric) at Sucafina. Skills: Microsoft Fabric, Data Platform Engineering, Data Pipelines, Data Warehousing. Build and manage Lakehouses. Build and manage Fabric Data Warehouses”
What You'll Achieve.
Deliver trusted datasets; Deliver performant datasets; Deliver governed analytics at scale
Industry & Context.
Analytical skills; Challenge financial information
Work in coffee-producing countries
What They're Looking For.
Must Have
Microsoft Fabric hands-on, PySpark, SQL, T-SQL, Dimensional modeling, Data Vault patterns, Medallion patterns, Data quality frameworks, Partitioning, File formats, Caching, Z-ordering, Job orchestration, Monitoring, Git, Fabric Deployment Pipelines, RLS, CLS, Sensitivity labels, Access patterns, Audit, Logging, Lineage
Nice to Have
DAX familiarity, Power BI modeling experience, Streaming/real-time exposure, Integrating with external sources experience, Microsoft Purview familiarity
What You'll Do.
Build and manage Lakehouses
Build and manage Fabric Data Warehouses
Develop Data Pipelines
Develop Dataflows Gen2
Create Notebook-based transformations
Optimize SQL stored procedures
Implement medallion architecture
Publish certified semantic models
Publish Power BI datasets
Optimize storage and compute
Implement retry mechanisms
Conduct pipeline performance testing
Conduct scalability assessments
Enforce data governance
Manage item-level permissions
Apply data quality rules
Use Fabric Git integration
Use Deployment Pipelines
Parameterize pipelines
Externalize configuration
Implement automated testing
Drive release management
Drive rollback strategies
Partner with analytics engineers
Partner with BI teams
Design semantic models
Work with data source owners
Translate business requirements
Document architecture decisions
Provide knowledge transfer
Provide best practices
Support data consumers
How You'll Work.
Team & Collaboration
Analytics engineers; BI teams; Data source owners; Business stakeholders
Communication Scope
English communication
Process & Methodology
CI/CD, Release management, Change control
Full Job Description
The Company: Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com. What are we looking for: We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile. What we offer: We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock! Job Overview The Microsoft Fabric Data Engineer designs, builds, and operates modern data platforms using Microsoft Fabric. This role focuses on ingesting, modeling, and serving data via OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Power BI—delivering trusted, performant datasets and governed analytics at scale. The role collaborates closely with data architects, analytics engineers, BI developers, and business stakeholders. Key Responsibilities 1. Data Platform Engineering (Fabric) * Build and manage Lakehouses (Delta Lake) and Fabric Data Warehouses. * Develop Data Pipelines and Dataflows Gen2 for batch and near-real-time ingestion. * Create and optimize Notebook-based transformations (PySpark/SQL) and SQL stored procedures for DW workloads. * Implement medallion architecture (bronze/silver/gold) for scalable curation. * Publish certified semantic models and Power BI datasets aligned
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