Metadata Ingest Intern - English (Paid internship) (Madrid) at Simply TV

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

3.46

Posted On

06 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Scheduling Systems, Data Parsing, Metadata, Workflow Monitoring, Troubleshooting, Data Validation, Process Optimization, Stakeholder Support, Structured Testing, Content Discovery, Data Feeds

Industry

Software Development

Description

About Simply.TV At Simply.TV, we're redefining how the world experiences TV metadata. As a leading provider of advanced, AI-driven metadata solutions, we empower broadcasters, streaming platforms, and telecom operators to deliver smarter, more engaging content discovery experiences. From next-gen EPG (Electronic Program Guide) data to rich content enrichment, we enable our partners to stay ahead in a rapidly evolving media landscape. Headquartered in Copenhagen, but supported by 450+ employees worldwide, our data fuels user interfaces used by millions of viewers every day — and we’re just getting started. Whether you're passionate about media technology, data engineering, or product innovation, Simply.TV is the place to shape the future of TV — and have fun doing it. Join us, and let’s make content discovery simple, powerful, and inspiring! The Role 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. Why join? 🚀 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. You'll thrive in this role if you: 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. Collaboration based on a contractor set-up is 3.46 EUR per hour on a full-time allocation basis (40 hours per week), max 600 EUR per month.

Responsibilities

The intern will ensure TV, movie, and series data flows smoothly and accurately into systems by monitoring data pipelines, investigating operational issues, and collaborating with the development team. Responsibilities also include implementing and updating hardcoding rules for parsers, configuring data feeds, and responding to internal and external support cases within service level agreements.