Senior Data Engineer (Ai & Products)

Teamsystem España; Madrid; Híbrido; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

TeamSystem España busca un Senior Data Engineer para construir la base de datos que soporta productos impulsados por IA. Diseñarás, evolucionarás y exponerás datos de producto para que sean consumidos por software, servicios AI y plataformas empresariales.

Trabajarás en data platforms modernas, gobernanza de datos y patrones de integración reutilizables, con énfasis en calidad de datos, observabilidad y entrega escalable.

Formación

• 5+ años de experiencia en Data Engineering y modelado relacional.
• Experiencia diseñando Data Products o modernas plataformas de datos empresariales, definiendo APIs, esquemas y contratos de datos.
• Experiencia construyendo pipelines en Python con Databricks o Spark.
• Conocimiento de Azure y arquitecturas event-driven.
• Inglés profesional, hablado y escrito.

Responsabilidades

• Analizar modelos de datos de producto existentes y proponer mejoras.
• Diseñar y evolucionar modelos de datos orientados al dominio.
• Definir contratos de datos, propiedad y esquemas con equipos de Product Engineering.
• Diseñar pipelines de datos para operaciones y cargas de IA.
• Diseñar integraciones basadas en mensajería empresarial.
• Colaborar con Ingenieros de IA para proporcionar datos fiables para características de IA y RAG.
• Mejorar la calidad, gobernanza y observabilidad de datos.

Conocimientos

SQL

Python

Data modelling

Data governance

Data quality

REST APIs

Docker

Kubernetes

Git

English

Herramientas

Databricks

Azure

Terraform

Dagster

Liquibase

Unity Catalog

Delta Lake

Hermes

Schema Registry

Descripción del empleo

Descripción del trabajo

Senior Data Engineer (AI & Products)

La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.

Madrid | Hybrid | Full-time | Permanent contract

At TeamSystem, we help thousands of freelancers, SMEs, and accounting firms across Spain manage their businesses efficiently through innovative technology and reliable products.

Your mission

We're looking for a Senior Data Engineer to build the data foundation that powers the next generation of AI-enabled business software. You will design, evolve, and expose product data so it can be reliably consumed by software products, AI services, and enterprise platforms, transforming existing product data models into scalable, well-governed Data Products while promoting engineering best practices, data quality, and reusable integration patterns.

This is a software engineering role focused on product data, distributed systems, and modern data platforms — not a Business Intelligence, Reporting, or Data Science position. Your work will directly enable AI capabilities (AI agents, RAG) and have a direct impact on the reliability and scalability of the data that powers products used by thousands of users in Spain.

Technologies & environments

• Cloud & data platform: Azure; Databricks, Delta Lake, Unity Catalog, Apache Spark
• Data products & modelling: Data Products, Data Mesh, domain-driven data modelling, Schema Registry
• Integration: event-driven architectures and enterprise messaging (Hermes)
• IaC, orchestration & governance: Terraform, Dagster, Liquibase; Witboost, Profisee
• Languages: Python, SQL (over transactional enterprise applications)
• Software engineering: REST APIs, Docker, Kubernetes, Git, CI/CD

What will you do?

• Analyze existing product data models and identify opportunities for improvement.
• Design and evolve domain-oriented data models aligned with product architecture, and define and publish reusable Data Products for multiple business domains.
• Define data contracts, ownership, and schemas together with Product Engineering teams.
• Design and implement data pipelines for operational and AI workloads, publishing and consuming data through the corporate Data Platform.
• Design event-driven integrations using enterprise messaging patterns.
• Work with AI Engineers to provide reliable data for AI features, AI agents, and Retrieval-Augmented Generation (RAG) solutions.
• Improve data quality, governance, and observability, and contribute to architectural decisions and reusable patterns across product teams.

Technical requirements

• 5+ years of experience in Data Engineering, with strong SQL and relational data modelling.
• Experience analyzing and evolving existing application data models in transactional enterprise software.
• Experience designing Data Products or modern enterprise data platforms, defining APIs, schemas, and data contracts.
• Hands-on experience building data pipelines in Python, with Databricks or Apache Spark.
• Experience with Azure cloud services and event-driven architectures.
• Understanding of Domain-Driven Design principles. xqysrnh
• Professional level of English, spoken and written.

Our values

• INITIATIVE as the driving force of our business
• INCLUSION so everyone feels part of the mission
• INNOVATION to create new challenges and seize opportunities

Interested or know someone who might be a good fit?