Data Ops/Analytics Engineer

Description

Job Summary: We are seeking a Data Ops / Analytics Engineer (Junior–Mid) to prepare, structure, and maintain high-quality data for advanced analytics and artificial intelligence. Key Highlights: 1. Develop ETL/ELT processes using Python and SQL. 2. Integrate, clean, and normalize data from multiple sources. 3. Collaborate with analytical and technical teams. DESCRIPTION At **Kenos Technology**, we are looking for a **Data Ops / Analytics Engineer (Junior–Mid)** profile to join a high-performance data and analytics environment. Your mission: prepare, structure, and maintain high-quality data to drive advanced analytics and artificial intelligence initiatives. #### **What will be your responsibilities?** * Develop ETL/ELT processes using Python and SQL. * Integrate, clean, and normalize data from multiple sources. * Design and maintain relational data models. * Build datasets ready for artificial intelligence models. * Apply data quality controls and validation. * Document transformations and business rules. * Collaborate with analytical and technical teams. REQUIREMENTS * Python: Solid knowledge focused on data processing and transformation. * SQL: Advanced-level proficiency (complex joins, aggregations, window functions). * Initial or intermediate experience in developing production-grade ETL processes. * Knowledge of relational data modeling and normalization. * Experience working with medium- or large-scale data volumes. * Proficiency with version control systems (Git). * English level: B2 (required). #### **Desirable Requirements** * Knowledge of analytical architectures (data lake, data warehouse). * Experience with data process orchestration tools. * Familiarity with analytical data formats. * Basic knowledge of cloud environments or distributed data platforms. **We Offer:** * **Work Location:** Málaga, Granada, Sevilla, Jaén (with occasional visits to the Málaga office). * **Permanent, long-term contract:** To ensure job stability. * **Flexible compensation:** Option to choose among various benefits, such as meal vouchers, health insurance, transport cards, or childcare vouchers. * **Continuous training:** Professional development and learning opportunities.