Data Engineering Lead - Client Technology

Tasks

• Analyze industry trends and assess impact on business
• Build and review data pipelines supporting analytics and AI
• Collaborate with departments to deliver AI-driven business value
• Design data extraction and transformation processes
• Develop and maintain data engineering standards and procedures
• Develop complex data models and semantic layers
• Lead and manage data engineering teams
• Research emerging technologies for product opportunities
• Resolve data quality issues and ensure data governance

Perks/Benefits

• Career development
• Flexible environment
• Future-focused skills
• Global team
• Inclusive culture

Skills/Tech-stack

AI Data | AI data access | Batch Processing | Cloud Computing | Data Cleansing | Data Governance | Data Modeling | Data Pipeline Development | Data Quality | Data access | Data integration | Data pipeline | Data quality assurance | Distributed Systems | Document stores | ETL Tools | Graph Databases | NoSQL document stores | Pipeline Development | Programming Languages | Quality Assurance | Relational databases | Semantic Search | Stream systems