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b.telligent in Porto, Portugal, is seeking a Data & Analytics Engineer to bridge data engineering and business intelligence. You will design and develop robust data pipelines, structure data in Google BigQuery and create semantic and visualization layers for end users.
Join a team that collaborates with emnos, works on challenging customer projects across industries, and supports professional development and certifications as part of a collaborative, knowledge-sharing culture.
Are you passionate about data and enjoy turning complex datasets into clear, actionable insights? Do you want to build reliable data pipelines, scalable data models and intuitive analytics solutions that help businesses make better decisions?
As a Data & Analytics Engineer, you will bridge the gap between data engineering and business intelligence. You will design and develop robust data pipelines, structure data in Google BigQuery and create the semantic and visualisation layers that make data accessible to business users.
At b.telligent, you will work on challenging customer projects across different industries, collaborate closely with experienced data and analytics specialists, and help organisations build modern, data-driven solutions.
You will closely work with and be an integral part of our partner company emnos for which you will deliver the services described here within.
emnos is a global leading provider of an AI‑based Retail Analytics B2B platform for retailers and their suppliers. It enables emnos to globally support joint, data‑driven optimization of decisions in Category Management and Retail Media, mainly driven from clients’ consumer experience. The platform focuses on secure and efficient exchange of information and analysis between retailers and their suppliers, creating new business opportunities and revenue streams.
Do you want to build modern data platforms, create meaningful analytics solutions and help customers make better decisions with data? Join b.telligent in Porto as our next Data & Analytics Engineer.
Apply now and become part of a collaborative team that combines data engineering, analytics and business expertise to create real value. We look forward to meeting you!