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.

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📌 Data Engineer (Madrid)
🏢 Russell Tobin
📍 Madrid