DATA ENGINEER SENIOR

Are you looking for an innovative and consolidated position as a professional development? GMV is a technological group with extensive experience.We are expanding our Intelligent Transport Systems team to participate in public transport projects.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 websiteWHAT CHALLENGE WILL YOU BE TAKING ON?Our team is accelerating the application of advanced analytics and modeling in the Intelligence Transportation System sector. Our team is seeking a Senior Data Engineer to help us develop and maintain our data platform and data pipelines.Key responsibilities of the role include:Design, build, and optimize our data platform and infrastructure to support both batch processing and real-time ingestion, ensuring we monitor operational quality and process raw data for modeling and analytics.Design, build, and maintain efficient data pipelines to integrate data from multiple sources into data warehouses and data lakes.Design, build, and maintain big-data solutions to process large amounts of data. Deploy these solutions both on-premise as well as cloud.Optimize database schemas and queries to ensure performance and scalability.Collaborate closely with Data Analysts, Data Scientists, and Software Engineers to ensure data quality, availability, and democratization.Keep detailed data governance, security, and scalability documentation up to date.WHAT DO WE NEED IN OUR TEAM?For these reasons, we are seeking experts with the following qualifications:Demonstrated experience with Data Warehouse concepts, database schema design, and performance optimization, with proficiency in at least one popular SQL engine such as Microsoft SQL Server or PostgreSQL.Proficiency in at least one programming language or framework, such as Python, C#/.NET, or PySpark, to build efficient ETL processes.Familiarity with the Python data stack (Pandas, Numpy, Scikit-learn, Pytorch, etc.)Hands-on experience with modern data orchestration frameworks, such as Airflow, Prefect, or LuigiExpertise in containerization and container management with Docker and Kubernetes is highly valued.Experience with big data and observability frameworks, such as Spark, Hive, Hadoop, and Elasticsearch.Experience with at least one cloud provider (AWS, Azure, or GCP) is a plus.WHAT DO WE OFFER?🕑 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 privacy@gmv.com❤️We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.WHAT ARE YOU WAITING FOR? JOIN USIf you have any questions please do not hesitate to contact Ana Gomes, in charge of this vacancy.Ana Gomes