Lead Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

📋 Description

• Design, build, and scale REST APIs and data pipelines for high-volume datasets.
• Architect and optimize backend services for high throughput and low-latency performance.
• Develop data-intensive and event-driven applications using Python, TypeScript, Spark, and AWS-native services.
• Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
• Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
• Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

🎯 Requirements

• 7+ years backend or full-stack engineering with strong backend focus.
• 7+ years Python experience (APIs, automation, data pipelines).
• 3+ years TypeScript / Node.js experience.
• Advanced AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions).
• Strong experience deploying and optimizing production workloads on Kubernetes.
• Proven experience with large datasets, distributed computing, batch or stream processing (Spark, EMR, Glue, Kafka).

🎁 Benefits

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Remote Work Flexibility: Work from anywhere.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.