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Freelance Data Engineer - Supply Chain

Anunciado el Hace 14h
Tipo de jornada
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Tipo de contrato
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Salario
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Estudios mínimos
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Nivel
Sin determinar
Número de vacantes
1
Descripción del empleo
  • High-impact project in a top pharma company
  • Flexible setup with growth potential

The client is a global leader in the pharmaceutical industry, recognized for its innovative approach within the Supply Chain sector. They are currently undergoing a major data migration project and are looking for a proactive, self-sufficient candidate who can contribute to this high-impact initiative, with potential for future opportunities.





  • Lead the migration of data and processes from R to SQL (Snowflake).

  • Design, develop, and maintain SQL databases and data pipelines.

  • Optimize the performance of SQL queries and data workflows.

  • Ensure data quality and integrity by collaborating closely with tech teams.

  • Create and maintain technical documentation for processes and systems.

  • Provide training and support to team members on SQL and Snowflake.

  • Stay updated with the latest trends and technologies in data engineering.




  • High-impact project within the pharmaceutical industry.

  • Flexible work arrangement: 1 day onsite in Barcelona, the rest remote.

  • Opportunity to work with cutting-edge technologies like Snowflake and SQL.

  • Chance to make a significant impact on a critical data migration project.

  • Full-time freelance role with the possibility of future opportunities.

  • A dynamic, fast-paced work environment where initiative and autonomy are valued.







Requisitos mínimos

Requirements



  • Strong experience as a Data Engineer.

  • Proven track record in R to SQL migration projects.

  • Advanced knowledge of Snowflake and SQL optimization techniques.

  • Fluency in English (B2/C1 level minimum).

  • Excellent autonomy, initiative, and learning agility.

  • Full-time availability on a freelance basis.

  • Based in or near Barcelona for 1 day/week onsite work.




Nice to Have



  • Experience in the pharmaceutical industry or other regulated sectors.

  • Familiarity with documentation tools and technical knowledge sharing.

  • Background in data visualization or analytics tools is a plus.




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