Big Data Engineer (hybrid, 35-42k)

What are we looking for?

• More than 4 years of experience in Spark, Airflow, Python, Scala, Kubernetes, IBM Cloud, COS/S3, and Bash, building and maintaining large-scale data platforms.
• Design, develop, and optimize data pipelines and big data solutions in complex enterprise environments.
• Good understanding of data architecture and distributed systems, with the ability to contribute across multiple projects and teams.
• True team player with strong communication skills, focused on collaboration, knowledge sharing, and working closely with stakeholders.
• Upper-intermediate English required; intermediate French will also be considered.

What does our client offer?

• Immediate start with a permanent contract in a stable and long-term international project.
• Competitive salary package, depending on experience, technical expertise, and overall profile.
• Hybrid work model, with 3 days onsite per week in offices of client in Madrid Rio and the flexibility to work remotely for the remaining days.
• 42-hour workweek from September to June, and 30 hour in summer.
• Career development opportunities, including continuous learning, training, and progression within a cutting-edge technology environment.
• 27 vacation days per year, complemented by an attractive benefits package designed to support employee wellbeing.