Data Engineer

We are seeking a skilled Data Engineer to join the Insights, Digitalization & Analytics department. The ideal candidate will design, develop, and maintain scalable data solutions to drive analytics, machine learning, and business insights. Responsibilities include building data pipelines, APIs, and dashboards, deploying Machine Learning projects, and leveraging big data technologies and cloud platforms.

Responsibilities

• Design, develop, and maintain ETL / ELT pipelines, API endpoints, and data applications across cloud and on-premise environments, integrating internal and external data sources, including web scraping of public data (ensuring compliance).
• Monitor, optimize, and maintain data quality, performance, and availability through data cleansing, transformation, and deployment of scalable solutions.
• Design, implement, and manage Azure cloud infrastructure to support scalable and secure deployment of cloud-native applications, including configuration of networking, storage, compute resources, and identity management. Ensure alignment with best practices for performance, cost optimization, and security compliance.
• Implement CI / CD pipelines, automate deployments, and ensure scalability and performance for data and Machine Learning (ML) / AI solutions.
• Create and optimize interactive dashboards to visualize business metrics, collaborating with stakeholders to design user-friendly interfaces and integrate them with backend data pipelines.
• Collaborate with Data Scientists to deploy, monitor, and maintain ML / AI projects in production systems.

Requirements

Technical Skills required

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