Data Engineer

About you

Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you.

Your key skills and capabilities

• Implementing cloud-native data platforms
• Engineering scalable and reliable pipelines
• Good knowledge of distributed computing with Spark
• Understanding of cloud architecture principles and best practices
• Hands-on experience in designing, deploying, and managing cloud resources
• Excellent Python and SQL skills
• Agile ways of working
• Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform
• Monitoring and performance tuning of cloud-based applications and services

Nice to haves: MLOps

• Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance.
• Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining.
• ML Pipelines & CI/CD – Automate end-to-end ML workflows.

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.