We are looking for a talented Data Engineer building scalable data solutions to support advanced analytics with 4+ years of experience. You will work collaboratively with technical teams and clients, contributing to data-driven solutions while exploring new technologies and approaches.

Key Responsibilities
* Build and develop data solutions for advanced analytics.
* Work with large-scale datasets and big-data technologies.
* Design, develop and optimise data processing solutions and pipelines.
* Work with technologies such as Hadoop and Spark.
* Develop and maintain solutions using Python, Java, SQL and Scala.
* Support advanced analytics and machine-learning initiatives.
* Use tools such as Anaconda and Spark for analytics and machine-learning applications.
* Work closely with technical teams and clients to deliver effective data solutions.
* Contribute to technical discussions and continuously improve development practices.
* Investigate complex technical challenges and develop effective solutions.




* Stay up to date with new technologies and be willing to experiment with new approaches. Key Requirements
* Advanced degree in Computer Science or equivalent technical experience.
* Hands-on experience building data solutions for advanced analytics with 4+ years of experience.
* Strong knowledge of big-data technologies, particularly Hadoop and Spark.
* Strong programming skills in Python, Java, SQL and Scala.
* Experience working with large datasets and data processing environments.
* Familiarity with advanced analytics and machine-learning tools.
* Strong problem-solving and analytical skills.
* Excellent communication and collaboration skills.
* Ability to work effectively with both technical teams and clients.
* Intellectual curiosity and willingness to learn and work outside your comfort zone.

📌 Data Engineer (Comunidad de Madrid)
🏢 Russell Tobin
📍 Comunidad de Madrid