Data Engineer (Codemotion 26)

Job Description

Hello! 👋

Are you passionate about turning data into insights that power next‑generation TV experiences? 📊📺
At agileTV, we are building cutting‑edge TV platforms used by millions of users worldwide, and data plays a critical role in how we evolve our products, improve audience experiences, and ensure platform reliability.

We are looking for an outstanding Data Engineer to join our Next Generation TV project. In this role, you will work at the core of our data platform, enabling analytics, monitoring, personalization, and product intelligence across our TV ecosystem.

If you enjoy working close to the product, handling large‑scale data from real users and devices, and building reliable data systems in a cloud‑native environment, we’d love to meet you!

📍 Location:
Anywhere in Spain (with optional access to offices in Bilbao or Madrid). Hybrid model available! 🏡

✨ What You'll Do:

• Design, build, and maintain scalable data pipelines ingesting data from TV platforms, backends, and user devices.
• Process and transform high‑volume events and telemetry data (user behavior, app usage, playback metrics, errors).
• Develop and optimize ETL / ELT workflows to feed analytics, reporting, and operational use cases.
• Model TV‑related data (audience, content consumption, performance metrics) for analytical and product needs.
• Ensure data quality, observability, and reliability across the entire data lifecycle.
• Collaborate closely with product, backend, analytics, and operations teams to understand how data supports decision‑making.
• Support use cases such as platform monitoring, incident analysis, audience insights, and feature experimentation.
• Maintain and evolve data infrastructure on cloud environments.
• Proactively improve performance, scalability, and cost efficiency of data solutions.
• Document pipelines, datasets, and best practices to ensure long‑term maintainability.

✅ Requirements:

• +4 years of experience as a Data Engineer or similar role.
• Strong experience working with Python and SQL in data‑intensive environments.
• Solid knowledge of relational and analytical databases.
• Experience building data pipelines handling large volumes of events and logs.
• Hands‑on experience with cloud platforms, preferably AWS (S3, Glue, Lambda, Redshift, EMR, etc.).
• Experience with data lakes and modern analytics architectures.
• Strong data modeling and performance optimization skills.
• Experience with version control systems (Git).
• Analytical mindset and strong problem‑solving skills.
• Technical English proficiency (minimum B2 level).
• Spanish proficiency (C1/C2).

⭐ Nice to Have:

• Experience with streaming and real‑time data (Kafka, Kinesis, Spark, Flink).
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster).
• Familiarity with TV, media, OTT, or streaming platforms.
• Experience supporting observability and monitoring use cases.
• Knowledge of data governance, security, and privacy best practices.

🎁 What We Offer:

💰 Flexible Compensation: Tailor your benefits, including gourmet vouchers, daycare, and transportation.
⌚ Flexible Hours: Work at your own pace and manage your schedule.
🏠 Remote Work: Enjoy the convenience and comfort of working from home.
🎉 Birthday Off: Celebrate your special day with a day off!
☀️ Recharge Fridays: Enjoy a quarterly day off to recharge.
🌴 Extra Days Off: Celebrate your work anniversaries with additional time off.
🤝 Referral Program: Earn bonuses for referring talented professionals.
🗣️ Free English Lessons: Enhance your language skills with free English lessons.

Our Commitment to Inclusion and Diversity

At agileTV, we are committed to creating an inclusive and respectful environment where everyone can thrive. We welcome applications from people of all backgrounds, identities, and abilities, including individuals with disabilities and members of underrepresented communities.

If you need any reasonable accommodation during the recruitment process or in your future role, please let us know—we are here to support you. 🌈