Senior Data Engineer (Ai & Products)

Teamsystem España; Coslada; Híbrido; EUR 70.000 - 105.000; Jornada completa

Descripción de la vacante

TeamSystem España 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, ensuring quality and governance across domains.

Based in Madrid with a hybrid work arrangement, you will work with Azure, Databricks, Delta Lake, and Spark to develop data pipelines and enable AI features and RAG solutions.

Formación

• 5+ years of experience as Data Engineer or similar role.
• Strong SQL and relational data modeling skills.
• Experience designing data products or modern data platforms.
• Hands-on data pipelines in Python with Databricks or Spark.
• Experience with Azure cloud services and event-driven architectures.
• Good written and spoken English.

Responsabilidades

• Analyze existing product data models and identify improvement opportunities.
• Design domain-oriented data models aligned with product architecture and publish reusable Data Products.
• Define data contracts, ownership, and schemas with Product Engineering teams.
• Build 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 and RAG solutions.
• Improve data quality, governance, and observability across product teams.

Conocimientos

SQL

Python

Data modeling

Domain-Driven Design

Azure

Databricks

Spark

Data Products

English

Herramientas

Databricks

Delta Lake

Unity Catalog

Apache Spark

Hermes

Azure

Descripción del empleo

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.

• Cloud & data platform: Azure; Databricks, Delta Lake, Unity Catalog, Apache Spark
• Integration: event-driven architectures and enterprise messaging (Hermes)
• Languages: Python, SQL (over transactional enterprise applications)

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?