Mid Data Scientist

Jobtailor

Barcelona

Presencial

EUR 50.000 - 80.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Jobtailor is seeking a data engineer to design and implement end-to-end data pipelines and to build robust data infrastructure in a collaborative environment.

You will mentor junior teammates, present findings to the team, and work with finance, supply chain, R&D, and commercial teams to ensure AI delivers measurable impact and solves the right problems.

Formación

  • 3 years of experience or more in data engineering.
  • Design and implement end-to-end data pipelines (ingestion - transformation - quality - delivery).
  • Contribute to app features with guidance from mid/senior teammates.
  • Present results and findings to your team.
  • Build and maintain data infrastructure components (streams, transformations, APIs, catalogs).
  • Implement robust data quality frameworks, monitoring and alerting systems.
  • Optimize data workflows for cost, performance and reliability.
  • Mentor junior team members on data engineering best practices and tooling.

Responsabilidades

  • Ensure AI is solving the right problems
  • Use the right approaches and drive measurable impact
  • Collaborate with teams across finance, supply chain, R&D, and commercial

Conocimientos

Data pipelines
Data ingestion
Data transformation
Data quality
Data delivery
Streaming pipelines
APIs
Data infrastructure
Data workflows
Data engineering

Descripción del empleo

Responsibilities
  • Ensure AI is solving the right problems
  • Use the right approaches and drive measurable impact
  • Collaborate with teams across finance, supply chain, R&D, and commercial
Requirements
  • 3 years of experience & up
  • Design and implement end-to-end data pipelines (ingestion - transformation - quality - delivery)
  • Contribute to app features with guidance from mid/senior teammates
  • Present results and findings to your team
  • Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs)
  • Implement robust data quality frameworks, monitoring, and alerting systems
  • Optimize data workflows for cost, performance, and reliability
  • Mentor junior team members on data engineering best practices and tooling
Hard Skills
  • data pipelines
  • data ingestion
  • data transformation
  • data quality
  • data delivery
  • streaming pipelines
  • APIs
  • data infrastructure
  • data workflows
  • data engineering
Soft Skills
  • collaboration
  • presentation
  • mentoring
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