Big Data Engineer (hybrid, 35-42k)
Summary
Big Data Engineer (hybrid in Madrid, 3 days onsite/week) designing, building and optimizing data pipelines and large-scale data platforms for a long-term international enterprise project, using Spark, Airflow, Python, Scala, Kubernetes and IBM Cloud. Requires 4+ years' experience and upper-intermediate English.
What are we looking for?
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- 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. xqbhyrx
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