Key skills
PythonSQLMLData EngineeringAnalyticsPytestCI/CDCollaboration
About this role
Role Overview
- Lead the design, implementation, and long-term ownership of complex, multi-tenant data platforms
- Build robust data components using advanced Python for APIs/orchestration and expert SQL for transformation and normalization layers
- Establish and enforce global data engineering standards and quality frameworks
- Drive continuous improvements in data infrastructure, modeling, and tooling
- Mentor junior team members and define best practices for tooling and data craft
Requirements
- 4 to 6 years of experience in data engineering or analytics
- Expert SQL skills (architecting advanced incremental patterns, complex modeling, and query optimization)
- Advanced Python for services/pipelines (not notebook-only analytics)
- Deep familiarity with production-grade engineering practices, including CI/CD, test-driven development (pytest), and leading technical code reviews
- Strong business-domain mindset for translating business data needs into efficient data architectures
- Strong collaboration skills with Data Practitioners, Data Scientists, Software/ML Engineers, Product teams, and business stakeholders
Tech Stack
- Python
- SQL
Benefits
- Hybrid work policy: 2 days in the office per week
- Professional development opportunities