Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description 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 comfortable 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 5+ years of experience in data engineering, with expertise in Azure and ETL. Experience in Salesforce integration and Azure Functions. Fluent in English to communicate effectively with US-based clients. Sustained knowledge of data warehousing, event-driven services, and cloud architecture. Strong SQL scripting experience. Strong analytic skills related to working with structured and unstructured data. #J-18808-Ljbffr