Staff Data Engineer

About the role

The ideal candidate will bring strong expertise in GCP/Azure, Snowflake, SAP S/4HANA, Python, SQL, and modern engineering practices, along with proven technical leadership, problem-solving, and stakeholder collaboration skills.

What you'll do

• Architect and deliver scalable, production-ready cloud data, analytics, AI/ML, and data science solutions to address complex business challenges
• Lead enterprise architecture and technical design decisions , establishing robust data models, platform standards, integration patterns
• Provide deep technical expertise to troubleshoot critical issues and drive innovative, scalable solutions across multiple projects and technology domains
• Collaborate with cross-functional teams, architects, business stakeholders, and technical working groups to define and deliver effective architecture solutions
• Provide technical leadership, mentoring, architecture reviews, and solution guidance to Data Engineers, Data Scientists, Engineers, and Product Owners

What you need

• 8–14 years in data science & ai
• Machine learning
• SQL
• Python
• Snowflake
• Data modelling
• SAP
• Any graduate

Good to have

• LLMs
• Kubernetes
• GCP
• SAP HANA
• Azure
• .NET