DATA ANALYTICS ENGINEER AND FULL-STACK DEVELOPER (GCP)

Description

Job Summary: We are seeking a Data Analytics Engineer & Full-Stack Developer to transform large volumes of urban data into interactive visual tools within cloud environments. Key Highlights: 1. Participation in high-impact, data-driven initiatives. 2. Collaborative and technical environment focused on innovation and quality. 3. Autonomy and accountability in developing analytical solutions. GRUPO TÉCIMAN has been delivering satisfaction for over 35 years through Engineering Services, 3D Metrology, and Digitalization projects. The Téciman team’s approach is reflected in the work we deliver to our clients. For new projects related to data-driven territorial and urban analysis, we require a **Data Analytics Engineer & Full-Stack Developer (GCP)** based in Madrid. This role will be responsible for transforming large volumes of cloud-hosted urban data into interactive visual tools, combining spatial data analytics capabilities with backend and frontend development in cloud environments. The position targets hybrid profiles with experience in both data analytics and product development—capable of designing end-to-end technical solutions and translating business needs into visual applications and actionable tools for urban and territorial contexts. The candidate will collaborate with technical and functional teams, contributing to both analytical development and the definition of cloud architectures and services on Google Cloud Platform. Responsibilities: * Design and optimization of complex SQL queries in BigQuery for exploitation and analysis of urban and territorial data. * Development of spatial analyses and indicators using geospatial functions (BigQuery GIS). * Integration, transformation, and exploitation of large datasets from multiple sources (e.g., land registry, mobility, infrastructure, environment). * Design and implementation of data processing pipelines and backend services in Node.js and/or Python on Google Cloud Platform. * Creation and maintenance of APIs to efficiently serve data to applications and geographic viewers. * Implementation of frontend components in React for visualization of geographic layers, interactive dashboards, and analytical tools. * Optimization of application and cloud process performance using caching strategies, pagination, and service optimization on Cloud Run / Cloud Functions. * Validation of results and assurance of solution quality, performance, and operational utility. * Collaboration with technical and business teams to translate complex analyses into visual tools and actionable information. * Participation in defining and evolving cloud-based data architectures and information flows. * Contribution to continuous improvement of analytical methodologies, technical standards, and user experience. Requirements: * Degree in Engineering, Mathematics, Physics, Computer Science, Geography, Data Science, or related disciplines. * Minimum 3 years of proven experience in hybrid roles related to Analytics Engineering, Full-Stack Development, or Product-Oriented Data Engineering. * Solid SQL knowledge and advanced experience working with BigQuery. * Backend development experience with Node.js and/or Python. * Strong frontend development experience with React.js. * Experience working in Google Cloud Platform environments (BigQuery, Cloud Run, Cloud Functions, or other associated services). * Knowledge of data modeling and user-oriented information visualization. * Experience handling complex, large-volume datasets. * Knowledge of geospatial analysis and use of GIS functions in BigQuery. * Familiarity with spatial formats (GeoJSON, WKT, KML, TopoJSON) and basic cartographic concepts (CRS, projections, geometries). * Experience with geographic visualization libraries such as Mapbox GL JS, Deck.gl, Leaflet, or OpenLayers is a plus. * Strong analytical ability, critical thinking, and autonomy in managing end-to-end technical solutions. Offer: * Join a stable and growing company with high-impact projects in territorial analysis, urban planning, and digital transformation. * Participation in data-driven initiatives influencing real-world urban decision-making processes. * A collaborative and highly technical environment focused on innovation, methodological quality, and product development. * Autonomy and accountability in developing complete analytical and visual solutions. * Continuous professional development and a competitive salary commensurate with a Senior-level profile specialized in Analytics Engineering and Full-Stack Development in Madrid. Location: Madrid