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 For Machine Learning (Sevilla)
🏢 MEERAB GROUP
📍 Sevilla