Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace's convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd‑hand the norm through smart use of technology.
Wallapop generates billions of data points daily. With a mature data infrastructure already in place, our Data Science and Machine Learning area is gaining significant momentum. As we scale, we face the exciting challenge of taking our ML Platform to the next level to support complex solutions in Personalization, Search, Trust & Safety, and Logistics.
You will partner with Data Scientists, Data Engineers, and DevOps to collaborate on a vision that balances innovation with reliability, ensuring our models scale efficiently to serve millions of users.
Work hand‑in‑hand with Data Scientists to support their efforts, ensuring they have the tooling to develop, deploy, and monitor scalable models efficiently.
Adopt and promote engineering best practices (coding standards, testing, CI/CD) within the ML domain.
Partner with Data Engineering and DevOps to align ML development with company‑wide infrastructure and data governance standards.
You understand the lifecycle from experimentation to monitoring.
Solid understanding of AWS components (SageMaker, Lambda, S3) and container orchestration with Kubernetes.
Strong software engineering background with proficiency in Python, Git, and CI/CD workflows.



Experience with real‑time ML architectures, leveraging tools like Kafka for low‑latency ingestion and inference.
Hands‑on experience with vector databases or semantic search infrastructure (e.g., Familiarity with the broader ML toolkit, such as orchestration/tracking tools (Flyte, MLFlow, Feast) and standard libraries (Pandas, Scikit‑learn, TensorFlow/PyTorch).
Professional proficiency in English, with the ability to communicate technical concepts clearly to diverse stakeholders.
Familiarity with Big Data technologies like Spark or Beam.
Experience with Data Engineering tools such as Airflow, dbt, or with other cloud platforms like GCP or Azure in addition to AWS.
We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self‑organizes to decide on cadence and in‑person/remote rituals.
Generous individual learning budget of 2k per year
~ Free office meals, lunch selection from different providers
~ Group and individual English, Catalan & Spanish lessons as part of our working day
~ Private Health Insurance with Alan
~ Versátil working hours + intensive Fridays
~ Gym & Wellness plan, including physiotherapist in the office
~ Wallapop Renta (Tax income support)
~ One‑off payment based on compensation package to go towards setting up your home office
~ Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
~26 holidays per year
~ TOP hardware of your choice (latest Apple or Windows)

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📌 Python Engineer #AWS (Barcelona)
🏢 Wallapop
📍 Barcelona