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

📌 Data Engineer In Spain Or Nearby (España)
🏢 MEERAB GROUP
📍 España