Job summary Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. Responsibilities - Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports. - Build end-to-end data engineering projects, focusing on migration from legacy systems to cloud-based environments (Azure). - Design and create scalable ETL pipelines, ensuring efficient data flow and transformation processes. - Manage data integrations with Salesforce, leveraging event-driven architectures and cloud-based services. - Collaborate with cross-functional teams and be confortable on contact with clients, particularly based in the US. - Accelerate the development processes and collaborate with Data Engineers and Data Analysts following Scrum Methodologies Qualifications - Cloud Data Warehousing: Snowflake - Programming Languages: Python, Scala, SQL - Big Data Frameworks: Apache Spark, Databricks (including Delta Lake and Delta Tables) - Cloud Platforms & Services: Microsoft Azure (Azure Data Factory, Azure Event Hub, Azure Functions) - Data Engineering: Data pipelines, ETL/ELT design, batch and streaming data processing - Data Storage & Management: Delta Tables, Azure Data Lake, Azure Blob Storage - Orchestration & Integration: Azure Data Factory (ADF), Azure Functions, Event-driven architecture - Workflow & Automation Tools: CI/CD pipelines, version control (Git), DevOps practices - Data Modeling & Warehousing: Dimensional modeling, data lakes, lakehouse architectures - Monitoring & Optimization: Performance tuning in Spark, job monitoring with Azure tools - Collaboration Tools: Jira, Confluence, Agile/Scrum methodologies Benefits - Finance: Competitive salary package, share plan, referral bonus - Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership - Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences - Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme - Health: Global internal wellbeing programme, access to wellbeing apps - Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations Descripción del trabajo Lorem ipsum dolor sit amet , consectetur adipiscing elit. Nullam tempor vestibulum ex, eget consequat quam pellentesque vel. Etiam congue sed elit nec elementum. Morbi diam metus, rutrum id eleifend ac, porta in lectus. Sed scelerisque a augue et ornare. Donec lacinia nisi nec odio ultricies imperdiet. Morbi a dolor dignissim, tristique enim et, semper lacus. Morbi laoreet sollicitudin justo eget eleifend. Donec felis augue, accumsan in dapibus a, mattis sed ligula. Vestibulum at aliquet erat. Curabitur rhoncus urna vitae quam suscipit , at pulvinar turpis lacinia. Mauris magna sem, dignissim finibus fermentum ac, placerat at ex. Pellentesque aliquet, lorem pulvinar mollis ornare, orci turpis fermentum urna, non ullamcorper ligula enim a ante. Duis dolor est, consectetur ut sapien lacinia, tempor condimentum purus. Obtén acceso completo Accede a todos los puestos de alto nivel y consigue el trabajo de tus sueños. Inscríbete ahora