Data Engineer

We are looking for a Senior Data Engineer to join the AI Team at a leader in the audiovisual industry and will work closely with data scientists, ML engineers and fact-checkers to design the next generation of intelligent systems that can automatically verify information and make a meaningful impact in the fight against misinformation. Responsibilities

• Design and optimize data pipelines for audiovisual data processing.
• Maintain and scale cloud-based data platforms.
• Collaborate with cross-functional teams to deliver data-driven solutions., + Full remote work, with the option to join a coworking space at our headquarters if you're based in Madrid.
• Offsites and team-building activities that foster collaboration and strengthen team bonds.
• A positive work environment where your work truly matters.

• At least 4 years of experience as a Data Engineer.

• Strong proficiency in building API endpoints using Python (FastAPI) or TypeScript (Nest.js).

• Expertise in SQL (MariaDB) and NoSQL (MongoDB) database design and maintenance.

• Familiarity with event-driven architectures (Kafka, RabbitMQ, NATS, etc.).

• Proven experience in ETL/ELT pipeline development.

• Knowledge of cloud platforms (AWS, GCP, Azure) and CI/CD pipelines.

• Hands-on experience with vector databases (Pinecone, ElasticSearch, FAISS).

• Understanding of data quality and governance best practices.

• Strong proficiency in SQL and Python.

• Ability to work in a fast-paced, collaborative environment.

• Language: Fluent in Spanish and English. Nice to Have

• You are knowledgeable about modern data architecture patterns (e.g., data mesh, medallion architecture...)

• Your are familiar with workflow orchestration tools like Airflow, Prefect or Kubeflow.

• You have experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).