Senior Data Platform Engineer - AI-Driven Decisions

Aily Labs SLU; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Aily Labs is seeking data practitioners who will architect and own enterprise-grade data platforms powering AI-driven decision support. You will build scalable data pipelines, APIs, and validation layers enabling reliable data for the Aily App and ML models.

You will work across Finance, R&D, and Supply, collaborating with Product, Software Engineering, and ML teams to deliver robust data solutions at scale. A strong preference for Python, SQL, and Airflow in a modern data stack.

Formación

• Experience building data platforms for multi-tenant environments
• Strong knowledge of Python for data engineering pipelines
• Proficiency with SQL-based transformations and dbt workflows
• Hands-on experience with APIs and REST interfaces
• Familiarity with cloud data infrastructure (AWS) and CI/CD practices

Responsabilidades

• Lead the design, implementation and long-term ownership of complex, multi-tenant data platforms with minimal strategic guidance
• Build robust data components using Python for APIs/orchestration and SQL for dbt transformations
• Establish and enforce global data engineering standards, with validation and alerting at scale
• Drive continuous improvements in data infrastructure, modeling, and tooling to optimize performance and reduce costs
• Mentor junior engineers and set best practices for the Data Chapter

Conocimientos

Python

SQL

Airflow

dbt

API development

AWS

Herramientas

PostgreSQL

DuckDB

DuckLake

FastAPI

Alembic

GitHub

Descripción del empleo

Aily Labs is seeking data practitioners who will architect and own enterprise-grade data platforms powering AI-driven decision support. You will build scalable data pipelines, APIs, and validation layers enabling reliable data for the Aily App and ML models.

You will work across Finance, R&D, and Supply, collaborating with Product, Software Engineering, and ML teams to deliver robust data solutions at scale. A strong preference for Python, SQL, and Airflow in a modern data stack.