Data Engineer In Spain With Eu Instituion Exp

At least three years of experience collecting, cleaning, harmonising andanalysing structured and semi-structured data using SQL and Python, R orequivalent technologies.- At least three years of experience in data extraction and transformation, theconstruction and maintenance of relational or analytical databases, andthe preparation of reproducible datasets with metadata and datadictionaries.- At least three years of experience in entity identification, namestandardisation, record linkage, deduplication, data-quality checks,validation and reconciliation across multiple heterogeneous data sources.- At least two years of experience in exploratory, descriptive or comparativedata analysis, or in indicator development.- At least one year of experience using machine-learning, NLP or AI-assistedtools to process and analyse textual or other unstructured information.- At least six months of experience processing and analysing EU funding dataor public-sector and administrative data sources.- At least six months of experience in data visualisation and communicatinganalytical findings to non-technical audiences.Technical SkillsCandidates should demonstrate proficiency in several of the followingtechnologies:- SQL- Python- R- Microsoft Power BI- Qlik- Microsoft FabricCertificationsA recognised professional certification in data analytics, business intelligence,data engineering, database management or data governance is required.Relevantcertifications include:- Microsoft Certified: Power BI Data Analyst Associate- Microsoft Certified: Azure Data Engineer Associate- Microsoft Certified: Fabric Analytics Engineer Associate- Microsoft Certified: Fabric Data Engineer Associate- An equivalent recognised professional certification

At least three years of experience collecting, cleaning, harmonising andanalysing structured and semi-structured data using SQL and Python, R orequivalent technologies.

• At least three years of experience in data extraction and transformation, theconstruction and maintenance of relational or analytical databases, andthe preparation of reproducible datasets with metadata and datadictionaries.
• At least three years of experience in entity identification, namestandardisation, record linkage, deduplication, data-quality checks,validation and reconciliation across multiple heterogeneous data sources.
• At least two years of experience in exploratory, descriptive or comparativedata analysis, or in indicator development.
• At least one year of experience using machine-learning, NLP or AI-assistedtools to process and analyse textual or other unstructured information.
• At least six months of experience processing and analysing EU funding dataor public-sector and administrative data sources.
• At least six months of experience in data visualisation and communicatinganalytical findings to non-technical audiences.Technical SkillsCandidates should demonstrate proficiency in several of the followingtechnologies:
• SQL
• Python
• R
• Microsoft Power BI
• Qlik
• Microsoft FabricCertificationsA recognised professional certification in data analytics, business intelligence,data engineering, database management or data governance is required., An equivalent recognised professional certification