Senior Denodo Data Engineer / SME

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.
Experience with Denodo is strongly preferred. Candidates with relevant experience in comparable tools will also be considered, particularly where that experience demonstrates transferable skills in data federation, data integration, semantic modeling, governance and performance optimization.
Contract Type: B2B Contract
Location: Romania, fully remote. Occasional travel to the client's office in Amsterdam may be required.
Responsibilities
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.
Required Technical Skills
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.

Work arrangement
Yes