149.947 vacatures

24 sep 2026

Big Data Engnieer (Remote-Worldwide)

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Locatie Amsterdam
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Organisatie Your Software Supplier
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Informatie

This job is with our partner Micro1.

Tasks

Key Responsibilities:

  • Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions.
  • Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.
  • Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.
  • Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability.
  • Monitor, troubleshoot, and enhance data systems to ensure high availability and performance.
  • Enforce data quality, security, and governance standards across all solutions.
  • Document solutions and communicate complex technical concepts effectively, both in writing and verbally.
  • Requirements

    Required Skills and Qualifications:

  • Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.
  • Advanced proficiency in Python for data processing, automation, and integration.
  • Deep understanding of relational and NoSQL databases, including optimization and management techniques.
  • Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink).
  • Strong foundation in data modeling, ETL processes, and data warehousing principles.
  • Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non-technical stakeholders.
  • Detail-oriented, proactive, and self-motivated, thriving in remote and autonomous work environments.
  • Omschrijving

    This job is with our partner Micro1.

    Tasks

    Key Responsibilities:

  • Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions.
  • Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.
  • Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.
  • Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability.
  • Monitor, troubleshoot, and enhance data systems to ensure high availability and performance.
  • Enforce data quality, security, and governance standards across all solutions.
  • Document solutions and communicate complex technical concepts effectively, both in writing and verbally.
  • Requirements

    Required Skills and Qualifications:

  • Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.
  • Advanced proficiency in Python for data processing, automation, and integration.
  • Deep understanding of relational and NoSQL databases, including optimization and management techniques.
  • Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink).
  • Strong foundation in data modeling, ETL processes, and data warehousing principles.
  • Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non-technical stakeholders.
  • Detail-oriented, proactive, and self-motivated, thriving in remote and autonomous work environments.
  • Solliciteer direct