Senior ML Infrastructure Engineer Real-Time Data & Features

Adikteev; Barcelona; Presencial; EUR 80.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare plan

4.5-day work week

Longevity bonus

Descripción de la vacante

Adikteev is seeking a Senior Data Engineer to own the ML data platform in our Barcelona operations. You will design and scale data infrastructure powering real-time and batch ML, enabling CTR/CVR and bidding models to run at production velocity from Barcelona.

Strong ML data engineering and Python-based tooling are essential. You will build a feature store, drive reliability with testing/monitoring, and collaborate across ML and engineering teams to ship production-grade infrastructure.

Formación

• Proven experience as a Data Engineer with ML/Ops exposure.
• Experience with Spark and Airflow in ML workloads.
• Fluent in English, strong communication.

Responsabilidades

• Own the infrastructure powering prediction for real-time ML.
• Build scalable data pipelines feeding ML models.
• Design a feature store for centralized feature management.
• Ensure ML reliability with monitoring and CI/CD.
• Collaborate with ML and engineering teams.

Conocimientos

Data Engineer

MLOps

Feature pipelines

Model serving

Latency tuning

Airflow

Spark

Kubernetes

Python

English fluency

Herramientas

Apache Spark

Airflow

Kafka

Kubernetes

AWS

Descripción del empleo

Adikteev is seeking a Senior Data Engineer to own the ML data platform in our Barcelona operations. You will design and scale data infrastructure powering real-time and batch ML, enabling CTR/CVR and bidding models to run at production velocity from Barcelona.

Strong ML data engineering and Python-based tooling are essential. You will build a feature store, drive reliability with testing/monitoring, and collaborate across ML and engineering teams to ship production-grade infrastructure.