Senior Data Engineer

About the role

As a Senior Data Engineer, you will design, develop, and operate data platform components and data-intensive products. You will own significant data engineering work from requirements and design through implementation and production support, partnering with Data Engineering, Data Science, Cloud, DevOps, Application, Product, and client-facing teams to deliver reliable solutions that support business growth.

What you'll do

• Design, develop, and maintain data pipelines, platform components, and data-intensive services
• Own data engineering work from requirements and technical design through implementation, deployment, and production support
• Contribute to data acquisition strategies, dataset contracts, acceptance criteria, quality standards, lineage, and lifecycle policies
• Build scalable batch and real-time data pipelines, lakehouse architectures, and distributed processing solutions for high-volume workloads
• Help evolve the data ecosystem to support growth in data volume, velocity, variety, and product complexity

What you need

• 6–11 yrs of experience
• SQL
• Python
• LLMs
• AWS
• Data modelling
• Machine learning
• B.Sc or M.Sc

Good to have

• CI/CD
• Pandas
• Kubernetes
• Helm
• MLOps
• Terraform