Data engineer

COFCO International is a global agri-business with a clear vision, strong values and a positive culture, focused on being a leader in the global grains, oilseeds and sugar supply chains. We provide the food the world needs in a responsible way. Headquartered in Geneva, Switzerland, we are ambitious, with the right structures and culture to meet the world's increasing and changing needs.

• Deliver assigned engineering and support work; contribute to prioritization and estimates, mentor engineers and, where assigned, coordinate contributors on specific technical initiatives. Formal team management and overall capacity allocation remain with the line manager.
• Translate business and data requirements into technical designs, development estimates and delivery plans; communicate dependencies, risks and decisions early.
• Design, develop and maintain end-to-end ETL/ELT pipelines and data models across enterprise data-lake and other business data solutions; remain hands-on in coding, reviews and complex troubleshooting.
• Guide Azure Data Factory and Azure Synapse delivery, including SQL, Spark-based transformations, notebooks and pipeline orchestration; promote reusable patterns and maintainable technical documentation.
• Deliver integrations between source systems, data platforms and downstream consumers, including secure tabular-data extracts and file transfers; coordinate connectivity and access requirements with infrastructure and security teams.
• Support analytics and financial-reporting data flows, working with business and application teams to validate extraction logic, reporting periods, reconciliations and downstream data consistency.
• Take technical ownership of production support for assigned solutions: maintain monitoring, review alerts, investigate incidents, escalate promptly and deliver root-cause analysis and permanent corrective actions against agreed service levels; coordinate incident resolution where assigned.
• Implement agreed data-quality rules, validation and technical remediation in pipelines and catalogs, working with Data Governance, data product owners and business analysts; maintain clear ownership boundaries for functional data issues.
• Ensure version control, code reviews, automated testing and controlled CI/CD releases; maintain regression coverage, rollback arrangements, runbooks and production-readiness checks.
• Improve pipeline stability, scalability, performance and cloud consumption; evaluate load strategies, scheduling and environment usage to avoid unnecessary processing and cost.
• Plan technical modernization and runtime upgrades with Architecture and Operations; assess compatibility, security and operational impacts before deployment.
• Contribute to knowledge transfer, support coverage and technical documentation to reduce reliance on individuals; report delivery, service and capacity risks to the line manager.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent relevant professional experience.
• 10+ years of hands-on experience designing, delivering, and supporting enterprise data-engineering solutions, including experience in Microsoft Azure.
• Experience providing technical guidance to data engineers, including mentoring, code reviews and collaboration with external service providers; experience coordinating delivery for specific technical initiatives is desirable. Formal people-management experience is not required.
• 5+ years of practical experience with Azure Data Factory, Azure Synapse Analytics, SQL and Apache Spark, including pipeline orchestration and notebook-based transformations.
• 3+ years of hands-on experience using Python for data engineering, including data ingestion, transformation, validation, and automation.
• Experience with enterprise data lakes, ETL/ELT, data modeling, source-system integration, and analytics/reporting data consumption.
• Experience troubleshooting production pipelines and data discrepancies, handling incidents, and implementing root-cause fixes.
• Experience with Git, CI/CD, testing, environment promotion and regression validation for data-platform changes and runtime upgrades.
• Experience optimizing pipeline performance and cloud consumption, balancing delivery priorities with ongoing operational support.
• Будет плюсом: Relevant Azure or data-engineering certifications are desirable; Experience with Microsoft Fabric is desirable to support a future migration

• Условий в вакансии нет