Senior Data Engineer (Snowflake Expert), Hybrid

Description

Job Summary: We are seeking a Senior Data Engineer with deep expertise in Snowflake to integrate large volumes of data into cutting-edge AI solutions, designing and building robust ELT pipelines for intelligent systems. Key Highlights: 1. Build your career by integrating data into cutting-edge AI solutions. 2. Critically connect the company's Data Core with new AI agents. 3. Work with Generative AI models and data optimization. Senior Data Engineer (Snowflake Expert) We are looking for a Senior Data Engineer specialized in Snowflake who wishes to advance their professional career by integrating large volumes of data into cutting-edge AI solutions. CONTEXT & RESPONSIBILITIES The selected candidate will join the Functional Team with the critical mission of connecting the company's Data Core with new AI agents. The Data Engineer will design and build robust extraction, transformation, and loading (ELT) pipelines to feed intelligent systems, ensuring data quality and availability. Expert-level proficiency in Snowflake and strong skills in Python, SQL, and the AWS environment are essential. PROJECT & TEAM The project requires unlocking the value of data stored in the corporate Data Lake for consumption by Generative AI models. This involves building secure connectors, optimizing complex queries, and structuring unstructured data. To ensure the project’s success, we need specialists who understand how to model data for consumption by LLMs. This role will work closely with AI Engineers and the Backend team, under the supervision of the Product Manager and in alignment with the Architect’s guidelines. EXPERIENCE & KNOWLEDGE The candidate must have at least 5 years of experience in Data Engineering, with deep, demonstrable expertise in Snowflake within production environments. Strong background in developing scalable ETL/ELT pipelines is required. Prior experience integrating data platforms with Machine Learning or AI services will be valued. **Proficiency with the following technologies is required:** * Core Data: Snowflake (Expert), Advanced SQL, Python (Pandas, PySpark) * Orchestration: Airflow, AWS Glue, dbt * Cloud: AWS (S3, Lambda, Kinesis) * Software Engineering: Git, CI/CD for data, data testing Additionally, experience or knowledge in the following areas will be considered a plus: * Databricks: PySpark, Delta Lake * Vector Databases: Preparing data for vectorization * Formats: Handling JSON, Parquet, Avro, and unstructured data HIRING & LOCATION This position is based in Madrid and offers a full-time contract with long-term stability. Given the project’s criticality and the need for close collaboration with business and technical teams, the role requires on-site presence at our offices (operating under a hybrid model, typically 3 days on-site and 2 days remote). Snowflake, Python, SQL, ETL, Pandas, PySpark