Browse
···
Log in / Register
Job Summary: We are seeking a data- and advanced analytics-oriented professional responsible for preparing, structuring, and maintaining high-quality data to support AI initiatives. Key Highlights: 1. Develop and maintain ETL/ELT processes using Python and SQL. 2. Integrate and consolidate data from multiple sources while ensuring consistency. 3. Build datasets ready for consumption by AI models. **Location:** Málaga, Granada, Sevilla, or Jaén (occasional travel to Málaga) **Experience:** 1–4 years **English Level:** B2 **Maximum Salary:** €33,000 **Job Description:** We are seeking a data- and advanced analytics-oriented professional. The selected candidate will be responsible for preparing, structuring, and maintaining high-quality data that serves as the foundation for analytics and artificial intelligence initiatives. **Responsibilities:*** Develop and maintain ETL/ELT processes using Python and SQL. * Integrate and consolidate data from multiple sources while ensuring consistency and coherence. * Implement data cleaning, standardization, and normalization. * Design and maintain relational and normalized data models. * Build datasets ready for consumption by AI models. * Implement data quality controls and validate information reliability. * Document data transformations, data structures, and business rules. * Collaborate with analytical and technical teams to understand data requirements. **Technical Requirements:****Mandatory:*** Advanced Python skills focused on data processing and transformation. * Advanced SQL (complex joins, aggregations, window functions). * Experience developing production-grade ETL processes. * Knowledge of relational data modeling and normalization. * Experience handling medium- to large-volume datasets. * Proficiency with Git. **Desirable:*** Familiarity with analytical architectures (Data Lake, Data Warehouse). * Experience with data pipeline orchestration tools. * Familiarity with analytical data formats (Parquet, CSV, JSON…). * Basic knowledge of cloud environments or distributed platforms. Location (Hybrid)
