Client: European Real-Time Decisioning Product Company

If you enjoy the point where Data Engineering, distributed systems and Machine Learning meet, this is that job.
Our client is a European product company building a real-time decisioning platform used by digital businesses across multiple markets.
Its technology processes high volumes of behavioural events and turns them into predictions used by production systems in milliseconds: which users are likely to churn, which actions are relevant, and where the platform should allocate resources.
Machine Learning isn't an innovation project sitting on the side of the business. It's part of the product.
The next challenge is making the ML ecosystem easier to scale, safer to change and cheaper to run.

Your role
As a Senior Data & AI Engineer , you'll take significant ownership of the infrastructure connecting raw events to production ML models.
This is primarily an engineering role rather than a Data Scientist position.
You'll spend your time on pipelines, orchestration, feature engineering infrastructure, production model workflows,



reliability and architecture.
Expect roughly 80% hands-on engineering and 20% technical guidance and mentoring .

What you'll own
- Architect and evolve batch and near-real-time data pipelines supporting ML workloads.
- Build scalable processing pipelines with Spark .
- Design orchestration using Airflow .
- Work with high-volume event streams, including Kafka .
- Design and evolve feature pipelines and a central feature store .
- Improve the path from experimentation to production: training, validation, versioning and deployment.
- Build reliable interfaces between data infrastructure and online model services.
- Define data and model observability across freshness, quality, latency, drift and business metrics.
- Improve CI/CD, automated testing and infrastructure deployment.
- Diagnose performance bottlenecks across compute, storage, network and model-serving workloads.
- Make sensible tr

📌 Senior Data (España)
🏢 Value Crew
📍 España