• Data ingestion, indexing and enrichment pipelines
• Search relevance configuration
• Semantic search solution
• Metadata models and JSON schemas
• Requirements specification
• Records and information management system components
• Information management policy and strategy recommendations
• Data integration and migration plan
• Digital preservation and archiving solution
• Metadata standards, taxonomies and controlled vocabularies
• Data publication and exchange solutions
• RESTful APIs
• Monitoring and performance dashboards
• AI-assisted workflow integration package
• Architecture and governance documentation will be shared with Project/Service Manager of the customer through the most appropriate channels, depending on their respective types, levels of sensitivity and target audiences (source code control system, email, collaboration sites, encrypted file servers, etc). Approval workflows may apply to some types of deliverables.
Minimum 15 years of experience with Java programming.
Minimum 15 years of experience with JavaScript.
Minimum 15 years of experience with SQL.
Minimum 15 years of experience with integrating RESTful APIs.
Minimum 2 years of experience with Elasticsearch.
Minimum 2 years of experience with Semantic Search and Artificial Intelligence / Machine Learning
Delivery mode: remote from Europe
Deadline 12/11/26
only Eu Citizens can apply
Build and improve data pipelines, models, analyses, and visualisations that help clients make data-driven decisions and solve business challenges across multiple industries.
Build and improve data pipelines, models, analyses, and visualisations for client projects, turning data from multiple sources into actionable insights and supporting data-driven decisions.
Build and improve data pipelines, models, and reporting for client projects, turning data from multiple sources into actionable insights and predictive analysis while automating workflows.
Collect, transform, analyze, and visualize client data while building reliable data models, ETL pipelines, and automation workflows that support actionable, data-driven decisions.
Build and evolve a large-scale data platform by developing reliable Azure pipelines, maintaining its analytics layer, modeling performance indicators, and ensuring data is accurate and ready for business decisions.
