Senior Data Engineer
External
Kantar · Porto, PortugalPrepare for this interview
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About the role
As a Senior Data Engineer, you will play a pivotal role in shaping our data ecosystem and driving actionable insights. Your expertise will be crucial in building and maintaining robust data infrastructure, scalable pipelines, and seamless integrations that empower our Business Data Science initiatives. By streamlining workflows and ensuring efficient data management, you will directly impact decision-making and innovation across the organization. Collaborating closely with cross-functional teams, you will develop APIs, implement ML/AI best practices, and enable the deployment and monitoring of advanced models. Your work will strengthen the foundation of our data-driven strategy, fostering collaboration and creating value for both internal teams and external stakeholders! This is an opportunity to redefine how data drives our success and growth. Job Goals Develop and maintain data pipelines that efficiently process and transform production data into formats suitable for analytics and machine learning applications. Design and optimize scalable databases and implement robust infrastructure solutions to support real-time data integrity and model performance monitoring. Collaborate with data scientists to deploy machine learning models into production, ensuring automated training, evaluation, and deployment workflows are in place. Create and enhance RESTful APIs using FastAPI to securely and efficiently expose data and model predictions to relevant teams and services. Foster collaboration with cross-functional teams by aligning technical solutions with business objectives, while implementing best practices and infrastructure as code for automation. Ideal Skills & Capabilities Python Expertise: Strong programming skills, especially in Python, for developing scalable APIs and data pipelines. Database Proficiency: Advanced knowledge of SQL databases and optimization techniques to support real-time analytics. Cloud Technologies: Hands-on experience with AWS or Azure for deploying and managing data infrastructure. AI/ML Integration: Practical experience in deploying, monitoring, and automating the lifecycle of machine learning models. Infrastructure as Code: Skilled in tools like Terraform, GitHub Actions, or CloudFormation for automating deployment workflows and ensuring system reliability.
Benefits
Additional Information
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please apply... Job Details We're the world's leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.
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