Senior Denodo Data Engineer

• Design, develop and support virtual data views, logical data models and governed data services using Denodo
• Build reusable semantic and logical data layers for consistent, self-service access to trusted enterprise data
• Develop and optimize data-integration and data-virtualization solutions for analytics, reporting, operational and AI use cases
• Integrate Denodo with enterprise applications, databases, APIs, cloud services, files and modern data platforms
• Connect and model data from SAP, Oracle, Salesforce, SQL Server and other structured and semi-structured sources
• Write, optimize and maintain SQL queries, virtual views, transformations and data services
• Support query optimization, caching strategies, performance tuning, troubleshooting and root-cause analysis
• Collaborate with data architects, data engineers, analysts and business teams to gather requirements and deliver scalable solutions
• Apply data governance, security, privacy, access-control and data-quality practices
• Document technical designs, logical and physical data models, source-to-target mappings, implementation details and operational runbooks

• 5-7 years of data-engineering experience
• Hands-on experience with Denodo, including development and support of virtual data views, data services, logical data models and integrations
• Experience with data virtualization, federated queries, logical data layers, semantic modeling or data-service development
• Experience with one or more comparable technologies, such as Collibra or Microsoft Purview, Microsoft Fabric, Azure Synapse Analytics, Databricks, Snowflake
• Strong understanding of data integration, ETL/ELT, data pipelines, data warehousing, lakehouse and analytics concepts
• Experience working with relational, structured and semi-structured data, including SQL, JSON, XML, CSV, Parquet and API-based data
• Familiarity with cloud data ecosystems, preferably Microsoft Azure
• Experience using source control and CI/CD tools such as Git and Azure DevOps
• Experience with SAP, Oracle, Salesforce, SQL Server and other structured and semi-structured sources

• Fully remote work arrangement
• B2B contract
• Occasional travel to the client's office in Amsterdam may be required