4 дня назад
BI Consultant Back-End & Semantic Modelling (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
BI Consultant Back-End & Semantic Modelling (AI): Building reliable data integration pipelines, curated data layers, and AI-ready semantic models for healthcare and life sciences analytics with an accent on dimensional modelling, data governance, and reusable business definitions. Focus on designing ETL/ELT solutions, improving data quality and performance, and enabling metadata, lineage, and terminology for AI applications.
Location: Porto Salvo and Lisbon, Portugal; hybrid working model.
Company
provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
- Translate business and data requirements into data integration, back-end, and semantic modelling solutions.
- Design, develop, and maintain ETL/ELT pipelines, data transformations, and curated data layers.
- Build and evolve dimensional and semantic models with relationships, hierarchies, measures, and reusable business definitions.
- Prepare data for AI applications through consistent terminology, metadata, governance, and data lineage.
- Collaborate with business stakeholders, analysts, data engineers, data scientists, and front-end developers.
- Support data quality, performance optimization, testing, deployment, and continuous improvement across the project lifecycle.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data, Business Intelligence, or a related field.
- Typically 3+ years of relevant experience in BI, data engineering, analytics engineering, or a similar back-end role.
- Strong SQL, ETL/ELT, and data integration skills.
- Experience with Snowflake, Databricks, Informatica Cloud, or SSIS.
- Understanding of data warehousing, dimensional modelling, Kimball principles, and semantic modelling for BI and analytics.
- Professional proficiency in English and ability to work in Portugal under a hybrid arrangement.
Nice to have
- Experience in healthcare, pharmaceuticals, or life sciences.
- Experience with Power BI semantic models, Analysis Services, dbt Semantic Layer, AtScale, Power BI, Qlik Sense, or QlikView.
- Knowledge of metadata, data catalogues, lineage, governance, knowledge graphs, or life sciences platforms such as Veeva.
- Experience with LLMs, RAG, vector search, cloud data architectures, Agile, version control, or CI/CD.
Culture & Benefits
- Meaningful work supporting healthcare and life sciences data solutions.
- Opportunities to develop expertise across BI, data engineering, consulting, and AI.
- International collaboration with colleagues and projects serving the Belgian healthcare and life sciences market.
- Supportive, knowledgeable, and collaborative working environment.
- Hybrid work model with challenging projects for leading healthcare and life sciences organizations.
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