Ingest Intern - English (Paid internship) (MX) at Simply TV

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

300.0

Posted On

15 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Parsing, Scheduling Systems, Troubleshooting, Data Pipelines, Analytical Skills, Problem-Solving, Detail-Oriented, Organization, Stakeholder Support, Data Health Monitoring, System Optimization, Customer Support

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 400+ 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 Implement and update hardcoding rules for parsers. Fix issues with existing parsers and optimize them for new content sources. Set up new parsers as needed for incoming data streams. Investigate and resolve internal data complaints. Monitor data health and ensure datasets are accurate, complete, and consistent. Check schedules for failures and report issues. Collaborate with the development team to resolve scheduling problems. Optimize how schedules are set up to ensure smooth operations. Support Management Respond to customer 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 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. 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 Please note - we can only accept CVs in English! Collaboration based on a freelancer set-up is up to 300 USD per month on a full-time allocation basis (40 hours per week).

Responsibilities

The intern will implement and update hardcoding rules for parsers, fix and optimize existing parsers for new content sources, and set up new parsers for incoming data streams. Key duties also involve investigating internal data complaints, monitoring data health, checking schedules for failures, and supporting management by responding to customer support cases.