Data Engineer - Real-Time ML Pipelines (Global)

SHARE NOW; Madrid; Presencial; EUR 50.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Startup spirit

International projects

Development opportunities

E‑learning platform access

Multidisciplinary teams

Descripción de la vacante

Free2move is seeking a Data Engineer to own the full lifecycle of data products in our pricing analytics domain. You will collaborate with data scientists to bring real-time pricing algorithms to production, and own pipelines across the pricing analytics stack.

We look for strong SQL/Python skills, dbt data modeling, and hands-on experience with Databricks and AWS. You will work with Docker/Kubernetes and modern CI/CD to deliver scalable data solutions.

Formación

• Expert-level SQL and Python for data transformations.
• Experience modeling enterprise Data Warehouses with dbt.
• Hands-on Databricks and AWS data stack knowledge.
• Proven ability to translate business needs into scalable data marts.

Responsabilidades

• Collaborate with Data Scientists to productionize pricing algorithms for millions of users.
• Own data pipelines within Pricing Analytics and ensure reliability.
• Architect systems to solve complex or ill-defined problems.
• Lead design, development, optimization and productionization of ML solutions.
• Manage pricing ML infrastructure performance and scale.

Conocimientos

SQL

Python

Data Modeling

KPI Metrics

Analytical mindset

English communication

Pricing Analytics

ML concepts

Problem solving

Team collaboration

Educación

Degree in Computer Science/Data Engineering/Software Engineering or related quantitative field

Herramientas

Databricks

AWS

Airflow/MWAA

Docker

Kubernetes

Terraform

GitHub Actions

Tableau

Power BI

Descripción del empleo

Free2move is seeking a Data Engineer to own the full lifecycle of data products in our pricing analytics domain. You will collaborate with data scientists to bring real-time pricing algorithms to production, and own pipelines across the pricing analytics stack.

We look for strong SQL/Python skills, dbt data modeling, and hands-on experience with Databricks and AWS. You will work with Docker/Kubernetes and modern CI/CD to deliver scalable data solutions.