Data Engineer

Russell Tobin; Madrid; On-site; EUR 55,000 - 75,000; Full time

Job summary

Russell Tobin is seeking a talented Data Engineer to build scalable data solutions that support advanced analytics. With 4+ years of hands-on experience, you will collaborate with technical teams and clients to deliver data-driven solutions and explore new technologies.

You will work with big-data technologies such as Hadoop and Spark, design and optimise data pipelines, and use Python, Java, SQL and Scala.

Qualifications

• Hands-on experience building data solutions for advanced analytics.
• 4+ years of relevant industry experience.
• Strong knowledge of Hadoop and Spark.
• Proficiency in Python, Java, SQL and Scala.
• Experience with large-scale datasets.

Responsibilities

• Build data solutions for advanced analytics.
• Work with large-scale datasets and big-data technologies.
• Design, develop and optimise data pipelines.
• Collaborate with technical teams and clients.
• Stay updated with new technologies and approaches.

Skills

Data engineering

Big data technologies

Python

Java

SQL

Scala

4+ years experience

Collaboration

Education

Advanced degree in Computer Science

Tools

Hadoop

Spark

Anaconda

Job description

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.