Data Engineer

• Design, development, and maintenance of ETL/ELT processes.
• Integration of data from microservices-based architectures.
• Development of semantic models and datasets for Power BI.

Conocimientos

ETL/ELT processes SQL Data warehouse design and modeling BI tools (especially Power BI) Data pipeline orchestration Query and performance optimization

Herramientas

Talend Prefect Cloud environments (Azure, AWS, GCP) Descripción del empleo

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 GMV website WHAT CHALLENGE WILL YOU BE TAKING ON?

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. Your responsibilities will include the following:

• 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.

• Experience in developing ETL/ELT processes using Talend or Prefect.
• Advanced proficiency in SQL.
• Experience with BI tools, especially Power BI for dashboard creation., 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.

Health, dental, and accident insurance Relocation package Personalized career plan, * 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. If 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!

A leading technology firm in Valladolid is seeking a Data Engineer skilled in data warehousing and analytics. You'll work in a microservices environment, responsible for developing ETL processes and ensuring data quality. A proven track record in SQL, data warehouse design, and experience with tools like Power BI are essential. The company offers a hybrid work model, competitive compensation, and various perks including health insurance and personalized career development.