Data Engineer In Spain Or Nearby

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. 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