Senior Data Engineer (AI & Products)

SOFTWARE DEL SOL S.A.; Madrid; Presencial; EUR 80.000 - 120.000; Jornada completa

Descripción de la vacante

TeamSystem in Madrid is seeking a Senior Data Engineer to build the data foundation powering AI-enabled business software. You will design, evolve, and expose product data as scalable Data Products while promoting data quality and governance.

You will work with Azure, Databricks, and modern data platforms, implementing data pipelines, event-driven integrations, and data contracts. This role focuses on product data in distributed systems, not BI or data science, and offers a collaborative Agile

Formación

• 5+ years of experience in Data Engineering.
• Experience analyzing and evolving existing product 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.
• Professional level of English, spoken and written

Responsabilidades

• 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 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.

Conocimientos

Data engineering

SQL

English

Herramientas

Databricks

Delta Lake

Unity Catalog

Apache Spark

Terraform

Dagster

Liquibase

Python

REST APIs

Docker

Kubernetes

Git

CI/CD

Azure

Descripción del empleo

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.
• Professional level of English, spoken and written

At TeamSystem, we embrace a flexible, responsible way of working built on trust and autonomy. We provide modern tools, invest in continuous learning, and foster an inclusive, collaborative culture shaped by Agile principles. Teamsystem is a Leading Tech Company in the digital solutions market in Europe. We are a growing company with an ambitious mission: to bring digital into every business.