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Big Data Engineer (Hybrid, 35-42k)

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Summary

Hybrid Big Data Engineer role in Madrid (3 days onsite, 2 remote) building and maintaining large-scale data platforms and pipelines. Core stack: Spark, Airflow, Python, Scala, Kubernetes, IBM Cloud, COS/S3, and Bash.

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. xhfqzwm

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Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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