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

- At least three years of experience in data extraction and transformation, the construction and maintenance of relational or analytical databases, and the preparation of reproducible datasets with metadata and data dictionaries.
- At least three years of experience in entity identification, name standardisation, record linkage, deduplication, data-quality checks, validation and reconciliation across multiple heterogeneous data sources.
- At least two years of experience in exploratory, descriptive or comparative data analysis, or in indicator development.
- At least one year of experience using machine-learning, NLP or AI-assisted tools to process and analyse textual or other unstructured information.
- At least six months of experience processing and analysing EU funding data or public-sector and administrative data sources.




- At least six months of experience in data visualisation and communicating analytical findings to non-technical audiences.

Technical Skills

Candidates should demonstrate proficiency in several of the following technologies:

- SQL • Python • R • Microsoft Power BI • Qlik • Microsoft Fabric Certifications A recognised professional certification in data analytics, business intelligence, data engineering, database management or data governance is required.

Relevant certifications 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 Sql (Bi) (Andalucía)
🏢 MEERAB GROUP
📍 Andalucía