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# FULLREMOTE - Data Engineer Azure

- **Company:** Capitole Consulting
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Airflow, Microsoft Azure, Big Data, Cloud Computing, Data Integration, Extract Transform Load (ETL), Data Systems, Data Visualization, Database Queries, DevOps, Python (Programming Language), Power BI, Standard Sql, SQL Databases, Cloud Platform System, Data Ingestion, Azure Data Factory, Grafana, Apache Spark, Containerization, Data Pipelines, Docker, Jenkins, Databricks, Programming Languages, Control M
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9753d0e50da15254

## About the Role

Capitole keeps growing and we want to do it with you! We are seeking a Senior Data Engineer to design, build, and maintain scalable data processing pipelines. The ideal candidate will have expertise in SQL, ETL processes, and cloud technologies. You will collaborate closely with Data Scientists to ensure data integration, quality and support advanced analytics. 1. TECHNICAL KNOWLEDGE Required: * Knowledge of Programming Languages: Proficiency in Python. * SQL Skills: Expertise in Joins, Group By, subqueries, and temporary tables. * Strong knowledge in Apache Spark. * Cloud Platform: experience with cloud platforms such as Azure. MUST: Azure, Data Factory and Databricks. * Data Orchestration Tools: Familiarity with data orchestration tools like Azure Data Factory, Airflow, Control-M, or similar. * DevOps Experience: Hands-on experience with DevOps tools such as Azure DevOps, Jenkins, etc. Desirable: * Visualization Tools: Knowledge of visualization tools such as PowerBI, Grafana,
etc. * Containerization Technologies: Proficiency with Docker and Kubernetes. * Agile Methodologies: Understanding of agile methodologies. Certifications: Certifications in cloud technologies or big data are a plus. 2. EXPERIENCE AND SKILLS Required: +3 years of experience technical knowledge in the following technologies: * Deep Knowledge of Programming Languages: Proficiency in Python. * Strong SQL Skills: Expertise in Joins, Group By, subqueries, and temporary tables. * Cloud Platform: experience with cloud platforms such as Azure. MUST: Databricks and Data Factory. * Strong knowledge in Apache Spark. * Data Orchestration Tools: Familiarity with data orchestration tools like Azure Data Factory, Airflow, Control-M, or similar. * DevOps Experience: Hands-on experience with DevOps tools such as Azure DevOps, Jenkins, etc. Business skills: * Strong critical thinking and problem solving skills. * Ability to work individually without much direction while also working as part of
a team towards a common goal. * Good written and oral communication skills. * Results-oriented, self-directed ability to drive change in an unstructured environment. * Time management skills. International experience and multicultural skills are highly valued. 3 ROLE AND RESPONSABILITIES * Implement and manage cloud data storage systems. * Collaborate with data scientists and analysts to understand data requirements and provide suitable solutions. * Ensure data quality, integrity, and security. * Automate data ingestion, cleaning, and transformation processes. * Monitor the performance of data systems and troubleshoot issues as needed. * Optimizing performance and scalability of Big Data solutions. * Strong critical thinking and problem solving skills. English: C1 We're great, but with you we'll be even better! For this you will have: - Budget of 1.200€ in individual training for you to use it in whatever you want (technological events, books