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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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Metadata Ingest Intern

Simply.TV
Found 1 month ago
Location
Madrid, Spain
Duration (Months)
3 Months
Time
Full-time
Work Mode
Hybrid
Salary
3.46 EUR per hour on a full-time allocation basis (40 hours per week), max 600 EUR per month.
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • data pipelines
  • scheduling systems
  • data parsing
  • hardcoding rules for parsers
  • parsers
  • data feeds
  • systems
  • data pipelines
  • troubleshooting operational issues

Soft Skills

  • detail-oriented
  • problem-solving
  • collaboration
  • structured
  • highly organized
  • eager to learn
  • collaborative

Job Description

As part of the Ingest team, you will play a key role in ensuring our TV, movie, and series data flows smoothly, accurately, and efficiently from multiple sources into our systems. This internship is ideal for detail-oriented, problem-solving individuals who enjoy working with data pipelines, scheduling systems, and supporting both internal and external stakeholders. This is a paid internship. Responsibilities * Operational Support + Monitor workflows and data pipelines to ensure smooth operations. + Investigate and resolve internal data complaints and operational issues. + Check schedules for failures and report issues. + Collaborate with the development team to resolve operational or scheduling problems. + Optimize operational processes to improve efficiency. * Data & Metadata Support + Implement and update hardcoding rules for parsers. + Fix issues with existing parsers and optimize them for new content sources. + Configure, validate, and maintain data feeds. + Apply structured testing before releasing changes. * Stakeholder Support + Respond to internal and external support cases within SLA times. + Ensure internal stakeholders receive timely support and issue resolution.

Requirements

  • Are currently studying or have recently graduated in a relevant field (Data, IT, Computer Science, Business, or related).
  • Are data-driven with experience using data tools and working with datasets.
  • Have an affinity for metadata and understanding of content workflows.
  • Enjoy operationally heavy roles and want to grow your career in operations.
  • Think in workflows and system dependencies, not just isolated tasks.
  • Can configure, validate, and maintain data feeds.
  • Apply structured testing before releasing changes.
  • Seek continuous improvement in processes, tooling, and operational efficiency.
  • Are comfortable working with systems, data pipelines, and troubleshooting operational issues.
  • Have excellent written and spoken English.
  • Are detail-oriented, structured, and highly organized.
  • Are collaborative, eager to learn, and thrive in a fast-paced environment.

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • metadata
  • content workflows
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