[Hiring] Senior Denodo Data Engineer / SME @WLG

Role Description

Are you ready to join a cutting-edge Digital Solutions company and shape how enterprise data is delivered? We are looking for a Senior Denodo Data Engineer / SME with hands-on experience designing, developing and supporting data virtualization and logical data-management solutions. The ideal candidate has 5-7 years of data-engineering experience, practical Denodo experience, and exposure to comparable data-virtualization, federated-query and modern cloud data platforms. This role focuses on delivering scalable, reusable, secure and high-performing data services for analytics, reporting, operational use cases and AI-enabled solutions.

• Design, develop and support virtual data views, logical data models and governed data services using Denodo.
• Build reusable semantic and logical data layers to enable 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 enterprise source systems such as 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 within Denodo and connected platforms.
• Document technical designs, logical and physical data models, source-to-target mappings, implementation details and operational runbooks.

Qualifications

• 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.

Requirements

• 5-7 years of data-engineering experience.
• Practical Denodo experience.
• Exposure to comparable data-virtualization, federated-query and modern cloud data platforms.

Benefits

• Contract Type: B2B Contract
• Location: Romania, fully remote. Occasional travel to the client's office in Amsterdam may be required.