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Data Analyst builds and maintains data pipelines, ETLs, and dashboards using Python, PySpark, DBT, and Streamlit in Databricks on Azure for a logistics client.
Builds a healthcare data platform from scratch, designing scalable pipelines and analytical models using Databricks, PySpark, SQL, and Azure to transform raw data into real-time insights and business dashboards.
Beca de 6 meses para estudiantes en Madrid, apoyando equipos DevOps con AWS, Docker, Jenkins y Azure en entornos Agile.
Builds and maintains full-stack .NET applications with React frontends, integrating robotic systems, ERP, and messaging tools while ensuring code quality and tech obsolescence checks.
A junior software engineer role focused on developing, testing, and maintaining web applications, APIs, and backend services under senior guidance, with exposure to modern development tools and cloud platforms.
Administers Cloudera Data Platform (CDP) in on-prem/cloud/hybrid environments, ensuring data availability, security, and performance by managing distributed systems like HDFS, YARN, Spark, Kafka, and NiFi.
Analyzes high-tech medical equipment data (imaging, nuclear medicine) for hospitals, supporting inventory, KPIs, and research projects while ensuring compliance with data protection laws.
Senior consultant designs GA4-based measurement frameworks, analyzes user behavior end-to-end, and builds executive dashboards to turn raw data into actionable business insights.
The Data Scientist leads end-to-end analytical projects, cleaning and transforming data to build predictive models and statistical analyses (including A/B tests and survival analysis) for strategic business decisions. They translate complex insights into clear visualizations and reports for leadership, using Python/R and SQL.
Build data pipelines and AI-driven analytics to optimize player experience and game growth for Zynga’s portfolio.
Designs and optimizes data pipelines, ensures data accuracy, and builds internal AI-driven data products to support company-wide decision-making and scalable systems.
Data Analyst role in banking, optimizing data flows with Mapper Engine, Control-M, and PL/SQL in Madrid.
This role involves designing, training, and validating machine learning and deep learning models and deploying them into production environments. The position is hybrid, requiring approximately two days of on-site work per month in Barcelona.
The DBA Engineer will be responsible for the definition, provisioning, and maintenance of databases, ensuring high quality and availability across SQL Server, Oracle, MySQL, and PostgreSQL. The role involves managing migrations, backups, monitoring, and capacity planning within Azure and Linux/Windows environments.
The Senior AI Engineer will design and implement scalable AI solutions, including analytics pipelines and agentic workflows, to support various enterprise functions like Finance and HR. The role involves collaborating within agile teams to integrate LLMs and predictive models into production systems.
Builds and optimizes data pipelines, ensures data accuracy, and creates AI-driven analytics tools to help teams make data-backed decisions by collaborating with engineers.
Design and improve data pipelines, ensure data quality, and build AI-powered analytics tools to support product teams across European markets.
Leads AI/Data Science teams, designs analytical strategies, and implements advanced generative AI solutions using Python, TensorFlow/PyTorch, and cloud platforms.
Designs AI RAG pipelines and optimizes vector databases in Azure to solve customer challenges and drive data-driven decisions for a Barcelona-based team.
Lead the design and build of Grupo Aspasia’s data platform, enabling analytics and insights for marketing, sales, academics, and finance.
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