Data Engineer

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Job Summary: Build a professional career in the insurance sector, leading pioneering projects and applying cutting-edge technology within a Data Analytics and AI Platform team. Key Highlights: 1. Grow and lead pioneering projects in the insurance sector 2. Interact with diverse professional profiles and information systems 3. Design, implement, and maintain data pipelines Build your professional career with us I'm interested! Join a leading company in the insurance sector We apply cutting-edge technology in the insurance sector. Grow with us and lead pioneering projects in this field. What is it like to work at Reale ITES? At Reale ITES, we offer the experience and stability that only a large, well-established company can provide. Your workplace will be our office in central Madrid, with a full-time intensive schedule—varying by time of year—and remote work several days per week. We offer an indefinite-term contract with an attractive salary and compelling social benefits. Reale Seguros holds top-rated workplace certifications: Great Place to Work, Family-Friendly Company, Gender Equality in the Workplace, and Rational Working Hours certification. Who are we looking for? At **Reale ITES**, part of the **Reale Group**, we are opening a Data Engineer position to join our Data Analytics and Artificial Intelligence Platform team. The main requirements we seek are: **University degree in Engineering**, **More than 2 years of experience** working as a Data Engineer with expertise in **Python**. Solid knowledge of **SQL and ETL tools** (preferably **Azure Data Factory**). Familiarity with distributed data processing platforms (preferably **Spark, PySpark on Azure Databricks**). Experience with visualization tools (Power BI is a plus) and fluent English (written and spoken). What will you do? You will collaborate with various departments across the company to create value by developing data products and fulfilling the organization’s analytical needs. Some of the more specific responsibilities include: Ability to interact with diverse professional profiles and understand both technical and functional details of the company’s information systems. Design, implement, and maintain data pipelines for provisioning and orchestrating analytical products. Develop and apply processes to clean, transform, and validate data, ensuring its quality and reliability for use. Continuously improve data management protocols, ensuring their effectiveness and compliance with our analytical platform and current regulations. Stay at the forefront of industry technologies and trends, applying best practices and expertise. What will the selection process be like? ##### #### **Register** Complete the registration form—it will take less than one minute. #### **Online Assessment** Complete the tests that help us understand your profile and strengths. #### **Meet the Team** Participate in a personal interview to explore your interests and motivations in greater depth. #### **Welcome to Reale!** Join our company!

Source: indeed
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Posted by

David Muñoz

Indeed · HR

Location

David Muñoz

Indeed · HR

Data Engineer by Indeed in 2026 | ok.com