Data Engineer (IEFP Internship)

Mediaprobe; Portugal; Híbrido; EUR 6700 - 10 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Gym access

Food allowance

Hybrid work (3 days remote)

Resumo da oferta

Mediaprobe in Maia, Porto is seeking an Data Engineer intern to join our IEFP program. You’ll work on real‑world data pipelines, focusing on synchronization, signal processing, and quality control under experienced mentors.

Ideal candidates have a degree in engineering or data-related fields, Python skills, and strong English. This hybrid internship offers hands-on projects powering media insights and client work.

Qualificações

• Eligible for IEFP internship.
• Degree in Engineering, Data Science, BI or a quantitative field.
• Strong Python programming skills (NumPy, Pandas).
• Understanding of data pipelines and ETL processes.
• Analytical mindset with attention to detail.
• Proficient in English; eager to learn in a fast-paced setting.

Responsabilidades

• Build tools to detect synchronization issues between physiological signals and multimedia content.
• Implement automated pipelines to check and monitor data quality.
• Design anomaly detection and alerting systems.
• Support the statistical validation of processed data.
• Document and share your work for the team.

Conhecimentos

Python

NumPy

Pandas

ETL

Data pipelines

Analytical mindset

English proficiency

Formação académica

Engineering/Data Science degree

Descrição da oferta de emprego

Data Engineer (IEFP Internship)

Data Engineer (IEFP Internship)

• Hybrid

At Mediaprobe, we are building tech that measures the emotional impact of media. Our Data Engineering team turns psychophysiological signals into insights that shape how brands and media companies connect with audiences.

As a Data Engineering Intern, you will get hands‑on with real‑world data pipelines, working on synchronization, signal processing, and automated quality control systems. You’ll be part of a team pushing the boundaries of media measurement, learning from experienced engineers while contributing to live projects that matter.

Geared up to know more?

Key responsibilities:

• Depending on your skills and interests, you might:
• Build tools to detect synchronization issues between physiological signals and multimedia content;
• Implement automated pipelines to check and monitor data quality;
• Design anomaly detection and alerting systems;
• Support the statistical validation of processed data;
• Document and share your work for the team.

Requirements:

We are not expecting tons of experience, we are looking for:

• Eligible for IEFP internship;
• Degree in Engineering, Data Science, Business Intelligence, or a quantitative field;
• Strong programming skills in Python (NumPy, Pandas);
• Understanding of data pipelines, ETL processes, and large-scale architectures;
• Analytical mindset and attention to detail;
• Proficiency in English;
• Motivation to learn and contribute in a fast‑paced, innovative environment.

What you’ll gain

• Experience working on large-scale data engineering problems;
• Exposure to signal processing, anomaly detection, and quality control systems;
• A chance to see your work powering real client projects in media measurement;
• Mentorship from our Data & Engineering team and collaboration with experts across Mediaprobe.

Ready to unlock a world full of opportunities and enticing benefits?

• A team that thrives on a perfect blend of flexibility and energizing atmosphere;
• A company that prioritizes balance and career growth support;
• Gym to keep you active;
• Food allowance;
• Hybrid work model to ensure camaraderie and freedom (3 days per week remote).

If you thrive in a vibrant, rapidly expanding organization, enjoy making a meaningful impact and assisting our clients to achieve success, this opportunity is perfectly suited for you.

Embrace the future of media measurement DaaS with us: where your skills meet innovation, and your ambitions find a home.

• Job Category

Data & Engineering

• Job Type

Internship

• Job Location

Maia, Porto