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 (Madrid)
🏢 Russell Tobin
📍 Madrid