Jobs for Humanity
Food & Beverage
DataQualityEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Quality Engineer at Jobs for Humanity. Skills: Data Quality, Microsoft Fabric, Azure Integrations, Data Validation. Design data quality tests. Develop data quality tests”
Industry & Context.
Problem-solving; Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
Data quality testing experience, Microsoft Fabric experience, Proficiency in SQL, ETL/ELT pipeline validation experience, Event-driven architectures experience, Azure integrations experience, Azure Service Bus experience, Azure Logic Apps experience, Data integration testing experience, Data quality concepts familiarity, Automation and scripting experience, Data modeling concepts understanding, Analytical skills, Problem-solving skills, Troubleshooting skills, Documentation skills, Communication skills, Unit testing familiarity, Automated data validation familiarity, Integration testing familiarity
Nice to Have
Great Expectations experience, Azure Data Factory knowledge, Synapse Analytics knowledge, OneLake knowledge, CI/CD pipelines familiarity, Data governance knowledge, Metadata management knowledge, Auditing standards knowledge
What You'll Do.
Design data quality tests
Develop data quality tests
Execute data quality tests
Validate ETL/ELT pipelines
Test event-driven processes
Monitor event-driven processes
Validate Azure Logic Apps workflows
Perform end-to-end testing
Develop automated checks
Maintain automated checks
Develop reconciliation scripts
Maintain reconciliation scripts
Develop test frameworks
Identify data quality issues
Analyze data quality issues
Report data quality issues
Collaborate to define rules
Collaborate to define metrics
Collaborate to define criteria
Monitor data quality KPIs
Ensure production reliability
Document data quality rules
Document testing outcomes
Validate Azure Logic Apps
Validate Service Bus messages
Develop integration tests
Maintain integration tests
Validate API endpoints
Test integration workflows
Perform end-to-end testing
Test service integrations
How You'll Work.
Team & Collaboration
Data engineers; Architects; Business units; BI teams
Communication Scope
Technical documentation; Business stakeholder communication
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 Data Quality Engineer will ensure the accuracy, consistency, and reliability of data across the Microsoft Fabric Data Warehouse, its integrations, and connected services. The role focuses on testing and validating data pipelines, event-driven processes, and Azure-based integrations such as Logic Apps and Service Bus. The engineer will collaborate closely with data engineers, architects, and business units to maintain high-quality, trustworthy data for analytics and reporting. Key Responsibilities 1. Design, develop, and execute data quality and validation tests for Microsoft Fabric Data Warehouse objects (tables, views, semantic models). 2. Validate ETL/ELT pipelines, including Fabric Dataflows and integrated source systems, for accuracy and completeness. 3. Test and monitor event-driven data processes, including Azure Service Bus messages, queues, and topics. 4. Validate Azure Lo
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