> Markdown version of [/jobs/ext/4678046-data-engineer](https://www.wearedevelopers.com/jobs/ext/4678046-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** NĂºmero De - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Data Analysis, Batch Processing, Big Data, Information Engineering, Extract Transform Load (ETL), Data Systems, Python (Programming Language), SQL Databases, Data Streaming, Data Ingestion, Data Lakes, Data Analytics, Data Inconsistencies, Data Pipelines, Control M - **Published:** November 12, 2026 - **Apply:** https://www.adzuna.es/details/5961637295 ## About the Role We are looking for a Data Engineer Analyst with at least 2 years of experience in Data Engineering or Big Data environments to join a data-driven project focused on the development and evolution of a DataLake and Limits solution. The ideal candidate combines strong hands-on experience with Python, SQL, ETL development and data pipelines with the analytical ability to understand complex data models, transformations, dependencies, and data quality requirements. ## Description * Analyze and understand existing data models, data flows and transformation processes. * Understand existing datasets, mappings and dependencies within the DataLake. * Develop, maintain and optimize Python processes, ETLs and data pipelines. * Build and maintain Control-M jobs and batch processing workflows. * Implement data ingestion, transformation and processing logic. * Develop and adapt data models and datasets required for the Limits solution. * Perform SQL-based data analysis, validation and reconciliation across multiple data sources. * Implement data quality controls and investigate and resolve data inconsistencies. * Support testing, certification, deployment and production releases. * Create and maintain technical documentation covering data models, processes, mappings and transformations. * Collaborate with technical and functional teams to ensure data solutions meet business and technical requirements