At least three years of experience collecting, cleaning, harmonising and Para presentar una candidatura, simplemente lea la siguiente descripción del puesto y asegúrese de adjuntar los documentos pertinentes.
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. xiphteb 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 For Machine Learning (Fuentes de Andalucía)
🏢 MEERAB GROUP
📍 Fuentes de Andalucía