How do I apply for the Metadata Ingest Intern - Spanish/English position at Simply.TV and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Simply.TV paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Metadata Ingest Intern - Spanish/English role?

This position is a full-time, structured as a hybrid role.

What educational background or degree level is required for the Metadata Ingest Intern - Spanish/English at Simply.TV?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Simply.TV provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Metadata Ingest Intern - Spanish/English

Simply.TV

Found 3 weeks ago

Location

Madrid, Spain

Time

Full-time

Work Mode

Hybrid

Salary

max 600 EUR per month

Visa Help

Not disclosed

Last Verified

3 weeks ago

Education

Bachelor

Skills & Qualifications

Technical Skills

data parsing
scheduling
operational support processes
data pipelines
scheduling systems
data
data bases
systems
troubleshooting technical issues
hardcoding rules for parsers
parsers
data streams
data health
datasets
scheduling problems

Soft Skills

problem-solving
detail-oriented
structured
highly organized
analytical
collaborative skills
passionate
willingness to get your hands dirty
strong drive to succeed
able to thrive in a fast-paced environment
learning something new
making yourself better every day
spoken English AND Spanish
customer support cases
timely support and issue resolution

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.

Requirements

Are currently enrolled in a degree program, with graduation planned no earlier than one year from now.
Are currently studying or have recently graduated in a relevant field (Data, IT, Computer Science, or related).
Have strong analytical and problem-solving skills.
Are detail-oriented, structured, and highly organized.
Are comfortable working with data, data bases, systems, and troubleshooting technical issues.
Have excellent written and spoken English AND Spanish.
Get energy from learning something new and making yourself better every day
Have great collaborative skills that make others love working with you
Are passionate about our product and what great metadata can do
Show a strong willingness to get your hands dirty and a strong drive to succeed
Are able to thrive in a fast-paced environment where no day is the same
Want to grow a career in Simply.TV

Data & Analytics

Data Analysis

Languages

English
Spanish

Nice to Haves

Work at the forefront of media tech
Play a critical role in how millions discover TV & streaming content
Gain hands-on experience
Learn about data parsing, scheduling, and operational support processes
Join a global team
Collaborate with colleagues worldwide while contributing meaningfully to the business
Make a real impact
Your work ensures accurate, high-quality data for top broadcasters & platforms
Grow and learn
Fast-paced, supportive environment with opportunities to expand your skills and responsibilities

Apply Now

22Open Positions

Open Positions

22Open Positions

Metadata Ingest Intern - Spanish/English

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Languages

Nice to Haves