Data engineer

Are you looking for an innovative and well‑established company where you can grow professionally? GMV is a technology group with extensive experience.

We are expanding our teams in the Intelligent Transportation Systems (ITS) sector.

We’ll get to the point; we’ll tell you what’s not on the web. If you want to know more about us go to the GMV website.

As part of our team, you will work as a Data Engineer specializing in data warehousing and analytics (Power BI) to develop and enhance the data platform associated with our smart transportation solutions (CAD/AVL, ABT, CCTV, etc.). You will join a microservices‑based environment, where each service has its own database.

• Design, development, and maintenance of ETL/ELT processes using tools such as Talend and/or Prefect.
• Integration of data from distributed microservices‑based architectures.
• Modeling and design of data warehouses oriented toward analytical use (dimensional models, query optimization).
• Ensuring data quality, consistency, and traceability.
• Orchestration and monitoring of data pipelines.
• Development of semantic models and datasets for use in Power BI.
• Creation of reusable dashboards and reports for clients and internal solutions.
• Performance optimization in data loading and utilization processes.
• Collaboration with backend, product, and analytics development teams.

For this position, we are looking for a Data Engineer who is seeking a stable environment in which to grow, with a proven track record and experience in the following:

• Experience in developing ETL/ELT processes (Talend, Prefect, or equivalent tools).
• Advanced proficiency in SQL.
• Experience in data warehouse design and modeling (star schema, snowflake, etc.).
• Experience working with multiple data sources (especially in microservices environments).
• Experience with BI tools, especially Power BI (modeling, DAX, dashboard creation).
• Knowledge of data pipeline orchestration.
• Experience in query and performance optimization.

We will also value:

• Experience with modern data architectures (data lake, lakehouse).
• Knowledge of messaging tools (RabbitMQ, Kafka).
• Experience in Cloud environments (Azure, AWS, or GCP).
• Knowledge of Python or other languages for data processing.
• Experience in designing multi‑tenant solutions.
• Knowledge of data governance (data quality, security).
• Experience in the transportation sector or ITS systems.
• Knowledge of monitoring and logging tools.

🕑 Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.

💻 Flexible start and finish times, and intensive working hours Fridays and in summer.

🚀 Personalized career plan development, training and language learning support.

🌍 National and international mobility. Do you come from another country? We can offer you a relocation package.

💰 Competitive compensation with ongoing reviews, flexible compensation and discount on brands.

💪 Wellbeing program: Health, dental and accident insurance; free fruit and coffee, physical, mental and financial health training, and much more!

⚠️ In our recruitment processes you will always have telephone and personal contact, face‑to‑face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at

❤️ We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.

If you have any questions please do not hesitate to contact Elba Iglesias Fernández, in charge of this vacancy.

Elba Iglesias Fernández