Senior Data Engineer for AI-Driven Data Products

TeamSystem; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

TeamSystem is seeking a Senior Data Engineer to build the data foundation powering the next generation of AI-enabled business software. You will design, evolve and publish data products, transforming existing data models into scalable, governed data assets for product teams in Spain.

On the Azure Databricks platform, you will craft data contracts, schemas, and pipelines, leveraging Spark, Delta Lake, Unity Catalog, and event-driven integrations.

Formación

• 5+ years of experience in Data Engineering and strong SQL/relational data modelling.
• Experience designing Data Products or modern enterprise data platforms with APIs, schemas and data contracts.

Responsabilidades

• Analyze existing product data models and identify opportunities for improvement.
• Design and evolve domain-oriented data models aligned with product architecture and publish reusable Data Products.
• Define data contracts, ownership, and schemas with Product Engineering teams.
• Design and implement data pipelines for operational and AI workloads on the Data Platform.
• Design event-driven integrations using enterprise messaging patterns.
• Collaborate with AI Engineers to provide reliable data for AI features, AI agents, and RAG solutions.

Conocimientos

SQL

Relational data modelling

Data Engineering

Python

APIs design

Domain-driven design

Herramientas

Databricks

Apache Spark

Azure

Terraform

Dagster

Liquibase

Kubernetes

Docker

Git

CI/CD

Unity Catalog

Delta Lake

Descripción del empleo

TeamSystem is seeking a Senior Data Engineer to build the data foundation powering the next generation of AI-enabled business software. You will design, evolve and publish data products, transforming existing data models into scalable, governed data assets for product teams in Spain.

On the Azure Databricks platform, you will craft data contracts, schemas, and pipelines, leveraging Spark, Delta Lake, Unity Catalog, and event-driven integrations.