Data Scientist

ph3Role /h3 pWe are looking for an Advanced Data Scientist with a strong technical background in data engineering, Machine Learning, and Business Intelligence, capable of designing data processing solutions, automating data ingestion, and developing analytical and predictive models. /p h3Role /h3 pWe are looking for an Advanced Data Scientist with a strong technical background in data engineering, Machine Learning, and Business Intelligence, capable of designing data processing solutions, automating data ingestion, and developing analytical and predictive models. /p h3Who We Are /h3 pAltia is a high-value digital transformation services company that has undertaken, changed, and reformulated international projects for nearly a thousand clients, leaders in their sectors, who have understood that their businesses can be revolutionized through digitalization. Over its 30 years of experience, it has proven to be a robust company with a future, a capacity for innovation, and adaptability. /p h3The project /h3 ul liData Engineering Integration: Design and implement automated data ingestion, transformation, and processing pipelines, ensuring reliable and scalable data flows. /li liData Architecture Modelling: Design robust analytical data models and cloud-based data architectures to support advanced analytics and Business Intelligence solutions. /li liAdvanced Analytics Machine Learning: Develop statistical and predictive models and contribute to analytical solutions that transform complex datasets into actionable insights. /li liAutomation Data Management: Implement metadata-driven automation and contribute to efficient data lifecycle and knowledge management processes. /li liMLOps Delivery: Apply software engineering practices including version control, CI/CD, model management, testing, and release management to ensure reliable analytical solutions. /li liTechnical Collaboration: Work autonomously while collaborating with technical and non-technical stakeholders, translating business needs into scalable data solutions and communicating results clearly. /li /ul h3Stack /h3 ul liProgramming Data Engineering: Python, R, SQL, data integration, transformation, ETL/ELT, data pipelines and automation. /li liData Platforms Architecture: Cloud Data Warehouses, Amazon Redshift, cloud environments, data catalogues, analytical architectures and data modelling. /li liData Processing: Apache Airflow, dbt, Apache Spark, metadata-driven processing and workflow orchestration. /li liBusiness Intelligence: Tableau, SAS, SAP Analytics, Qlik, Power BI, Superset. /li liMLOps Software Engineering: Git, CI/CD, model registry, unit testing, release management and MLOps practices. /li liAnalytics: Statistical modelling, predictive modelling, advanced analytics and Machine Learning. /li /ul h3What

we offer
/h3 ul liHigh-impact project /li liCollaborative work environment /li liCareer Plan /li liTraining Plan /li liFlexible Remuneration /li /ul pThe present job offer is drafted taking into account impartiality and non-discrimination on the grounds of gender, race, ideology, or any other reason. Especially, it takes into account the respect for the current regulations regarding gender equality between women and men (Royal Decree-Law 6/2019). /p /p