Senior Data Engineer, Platform & Ai

Senior Data Engineer (AI): Building and evolving a Databricks-first data platform with an accent on robust pipelines, architectural foundations for AI/ML, and production-grade data systems. Focus on scaling data capabilities, enhancing CI/CD and observability, and driving technical excellence across product and research functions.Location:Must be based in or able to work from Sant Cugat del Vallès, SpainCompanyInnovamat is an international educational organization founded in ** that empowers students worldwide through innovative math learning resources and research-backed teaching strategies.What you will doBuild and evolve a Databricks-first data platform to support analytics, operations, and AI applications.Own the end-to-end lifecycle of data products from ingestion and transformation to deployment and monitoring.Partner with product, research, and business teams to translate complex requirements into scalable technical solutions.Raise engineering standards by implementing best practices in CI/CD, observability, and code quality.Lay the technical foundations for AI/ML applications ensuring security, governance, and production reliability.RequirementsStrong technical expertise in Python, SQL, and modern cloud data systems.Proven experience with Databricks or the ability to ramp up rapidly in the ecosystem.Solid engineering mindset with a focus on architecture, reliability, and production-quality systems.Deep interest and practical passion for AI and ML applied to real-world products.Must be fluent in Spanish and English.Strong collaboration skills and a drive to raise standards through feedback and shared practices.Nice to haveExperience with dbt, workflow orchestration, and modern lakehouse architectures.Background in designing platforms supporting both BI and ML/AI use cases.Knowledge of infrastructure as code, data governance, and role-based access control.Familiarity with the EdTech or SaaS product usage data ecosystems.Culture & BenefitsInternational and passionate team environment focused on high-impact educational goals.Flexible working hours and dynamic, fast-paced work culture.Time off during the Christmas break.Flexible compensation options and focus on professional growth.Collaborative atmosphere centered on autonomy, trust, and continuous learning.#J-***-Ljbffr

Strong technical expertise in Python, SQL, and modern cloud data systems. Proven experience with Databricks or the ability to ramp up rapidly in the ecosystem. Solid engineering mindset with a focus on architecture, reliability, and production-quality systems. Deep interest and practical passion for AI and ML applied to real-world products. Must be fluent in Spanish and English. Strong collaboration skills and a drive to raise standards through feedback and shared practices. Nice to have Experience with dbt, workflow orchestration, and modern lakehouse architectures. Background in designing platforms supporting both BI and ML/AI use cases. Knowledge of infrastructure as code, data governance, and role-based access control. Familiarity with the EdTech or SaaS product usage data ecosystems.

International and passionate team environment focused on high-impact educational goals. Flexible working hours and dynamic, fast-paced work culture. Time off during the Christmas break. Flexible compensation options and focus on professional growth. Collaborative atmosphere centered on autonomy, trust, and continuous learning. #J-*****-Ljbffr

Santiago de Compostela, La Coruña, España

Senior Data Engineer (AI): Building and evolving a Databricks-first data platform with an accent on robust pipelines, architectural foundations for AI/ML, and production-grade data systems. Focus on scaling data capabilities, enhancing CI/CD and observability, and driving technical excellence across product and research functions. Location: Must be based in or able to work from Sant Cugat del Vallès, Spain Company Innovamat is an international educational organization founded in ** that empowers students worldwide through innovative math learning resources and research-backed teaching strategies. What you will do Build and evolve a Databricks-first data platform to support analytics, operations, and AI applications. Own the end-to-end lifecycle of data products from ingestion and transformation to deployment and monitoring. Partner with product, research, and business teams to translate complex requirements into scalable technical solutions. Raise engineering standards by implementing best practices in CI/CD, observability, and code quality.